Deep learning-based skin lesion analysis using hybrid ResUNet++ and modified AlexNet-Random Forest for enhanced segmentation and classification. by Saleem Mustafa, Arfan Jaffar, Muhammad Rashid, Sheeraz Akram, Sohail Masood Bhatti

“…There is a high probability that ResUNet++, which is highly proficient at medical image segmentation, can produce better segmentation of lesions than the simpler models. …”
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An Intelligent Heuristic Manta-Ray Foraging Optimization and Adaptive Extreme Learning Machine for Hand Gesture Image Recognition by Seetharam Khetavath, Navalpur Chinnappan Sendhilkumar, Pandurangan Mukunthan, Selvaganesan Jana, Lakshmanan Malliga, Subburayalu Gopalakrishnan, Sankuru Ravi Chand, Yousef Farhaoui

“…Hence, this research work intends to develop an efficient hand gesture image recognition system by using advanced image processing techniques. During image segmentation, skin color detection and morphological operations are performed for accurately segmenting the hand gesture portion. …”
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Low-power edge detection based on ferroelectric field-effect transistor by Jiajia Chen, Jiacheng Xu, Jiani Gu, Bowen Chen, Hongrui Zhang, Haoji Qian, Huan Liu, Rongzong Shen, Gaobo Lin, Xiao Yu, Miaomiao Zhang, Yi’an Ding, Yan Liu, Jianshi Tang, Huaqiang Wu, Chengji Jin, Genquan Han

“…Abstract Edge detection is one of the most essential research hotspots in computer vision and has a wide variety of applications, such as image segmentation, target detection, and other high-level image processing technologies. …”
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The Visual and Quantitative Study of the Microoccurrence of Irreducible Water at the Pore and Throat System in a Low-Permeability Sandstone Reservoir by Using Microcomputerized Tom... by Xiaoyu Gu, Chunsheng Pu, Hai Huang, Nasir Khan, Jing Liu, Yanlong He, Cheng Jing, Feifei Huang, Aojiang Qi

“…The microflow equipment monitored with micro X-ray computerized tomography (CT) is employed to investigate the microoccurrence of the irreducible water in a low-permeability sandstone core. By means of image segmentation and the three-dimensional (3D) image reconstruction technique, the visual microdistribution characteristics of irreducible water in two-dimensional (2D) slices and the 3D pore-throat system are quantitatively evaluated. …”
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Deep Learning and Radiomics in Triple-Negative Breast Cancer: Predicting Long-Term Prognosis and Clinical Outcomes by Cheng C, Wang Y, Zhao J, Wu D, Li H, Zhao H

“…They are extensions of conventional imaging diagnostic methods and have demonstrated tremendous potential in image segmentation, reconstruction, recognition, and classification. …”
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Edge-Preserving Probabilistic Downsampling for Reliable Medical Segmentation in Resource-Constrained Environments by Shahzad Ali, Yu Rim Lee, Soo Young Park, Won Young Tak, Soon Ki Jung

“…Preserving critical information during label downsampling is particularly crucial for medical image segmentation. This study introduces a novel approach, Edge-Preserving Probabilistic Downsampling (EPD), designed to retain critical details and bridge the performance gap between networks trained on original and downsampled resolutions. …”
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Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of... by Ronald P. Dillner, Maria A. Wimmer, Matthias Porten, Thomas Udelhoven, Rebecca Retzlaff

“…To integrate only vine canopy-exclusive features into ML classifications, different feature types were extracted and spatially aggregated (zonal statistics), based on a combined pixel- and object-based image-segmentation-technique-created vine row mask around each single grapevine position. …”
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Application of Video Processing Technology Based on Diffusion Equation Model in Basketball Analysis by Yafeng Feng, Xianguo Liu

“…This article discusses how to apply anisotropic diffusion methods and ideas to video image segmentation. We introduced the classic watershed segmentation algorithm and used forward-backward diffusion to process video images to reduce oversegmentation, introduced the active contour model and its improved GVF Snake, and analyzed the idea of how to use anisotropic diffusion and improve the GVF Snake model to get a new GGVF Snake model. …”
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Automated Audit and Self-Correction Algorithm for Seg-Hallucination Using MeshCNN-Based On-Demand Generative AI by Sihwan Kim, Changmin Park, Gwanghyeon Jeon, Seohee Kim, Jong Hyo Kim

“…Recent advancements in deep learning have significantly improved medical image segmentation. However, the generalization performance and potential risks of data-driven models remain insufficiently validated. …”
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A multi-stage weakly supervised design for spheroid segmentation to explore mesenchymal stem cell differentiation dynamics by Arash Shahbazpoor Shahbazi, Farzin Irandoost, Reza Mahdavian, Seyedehsamaneh Shojaeilangari, Abdollah Allahvardi, Hossein Naderi-Manesh

“…Light microscopy was employed to capture cell images from the first day to the 21st day of differentiation. Accurate image segmentation is crucial for analyzing the morphological features of the spheroids during the experimental period and for understanding MSC differentiation dynamics for therapeutic applications. …”
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Association between Visual Acuity and Retinal Layer Metrics in Diabetics with and without Macular Edema by LakshmiPriya Rangaraju, Xuejuan Jiang, J. Jason McAnany, Michael R. Tan, Justin Wanek, Norman P. Blair, Jennifer I. Lim, Mahnaz Shahidi

“…A previously established image segmentation method identified retinal layer interfaces and locations of visually indiscernible (disrupted) interfaces. …”
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Synchrotron X-ray imaging study on the mechanism of solids transfer to bitumen froth during oil sands flotation 1: True flotation by Hanyu Zhang, Liuyin Xia, Ning Zhu, Sergey Gasilov, Iris He, Xiaofan Ding

“…This study introduced an innovative image segmentation technique to quantify the transfer of particles into the bitumen froth via true flotation. …”
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Clinically oriented automatic three-dimensional enamel segmentation via deep learning by Wenting Yu, Xinwen Wang, Huifang Yang

“…A satisfactory image segmentation model is applied to generate a 3D enamel model for each tooth and to calculate the thickness value of individual enclosed 3D enamel meshes using a normal ray-tracing directional method. …”
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AI-Driven Framework for Recognition of Guava Plant Diseases through Machine Learning from DSLR Camera Sensor Based High Resolution Imagery by Ahmad Almadhor, Hafiz Tayyab Rauf, Muhammad Ikram Ullah Lali, Robertas Damaševičius, Bader Alouffi, Abdullah Alharbi

“…The proposed framework employs the <inline-formula><math display="inline" xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mrow></mrow><mspace width="-0.166667em"></mspace><mo>Δ</mo></mrow></semantics></math></inline-formula>E color difference image segmentation to segregate the areas infected by the disease. …”
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Plant Detection in RGB Images from Unmanned Aerial Vehicles Using Segmentation by Deep Learning and an Impact of Model Accuracy on Downstream Analysis by Mikhail V. Kozhekin, Mikhail A. Genaev, Evgenii G. Komyshev, Zakhar A. Zavyalov, Dmitry A. Afonnikov

“…In the present work, a method is presented for detecting the plants of five species in images acquired via a UAV on the basis of image segmentation by deep learning algorithms (convolutional neural networks). …”
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Validation of musculoskeletal segmentation model with uncertainty estimation for bone and muscle assessment in hip-to-knee clinical CT images by Mazen Soufi, Yoshito Otake, Makoto Iwasa, Keisuke Uemura, Tomoki Hakotani, Masahiro Hashimoto, Yoshitake Yamada, Minoru Yamada, Yoichi Yokoyama, Masahiro Jinzaki, Suzushi Kusano, Masaki Takao, Seiji Okada, Nobuhiko Sugano, Yoshinobu Sato

“…Abstract Deep learning-based image segmentation has allowed for the fully automated, accurate, and rapid analysis of musculoskeletal (MSK) structures from medical images. …”
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Segmentasi Citra Wajah dengan Implementasi Adaptif Threshold- Integral Image by Maryam Ummul Habibah, Muchamad Kurniawan

“…And the best results are obtained, name the image in the room (indoor) the value of S = 1/2 and T = 50, and the image outside the room (outdoor) the value of S = 1/30 and T = 30. Face image segmentation using the Adaptive Threshold - Integral Image robust method of high and low light intensity by setting the S (kernel) and T (Threshold) parameter values, this method is able to split the face object and its background. …”
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Bean leaf image dataset annotated with leaf dimensions, segmentation masks, and camera calibrationMendeley Data by Karla Gabriele Florentino da Silva, Paulo Victor de Magalhães Rozatto, Kaio de Oliveira e Sousa, Lucas Dias Hudson, Artur Welerson Sott Meyer, Alemilson Fabiano Silva, Igor Tibiriçá Mendes, Alex Rodrigues Borges, Leandro Elias Morais, Luiz Maurílio da Silva Maciel, Saulo Moraes Villela, Helio Pedrini, Marcelo Bernardes Vieira

“…We provide annotations concerning image segmentation, known area uniformly distributed over the leaf region, real area of the marker region, marker pose, capture conditions, and camera calibration. …”
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Patient-derived response estimates from zero-passage organoids of luminal breast cancer by Róża K. Przanowska, Najwa Labban, Piotr Przanowski, Russell B. Hawes, Kristen A. Atkins, Shayna L. Showalter, Kevin A. Janes

“…Transcriptional changes were measured by RT-qPCR or RNA sequencing (RNA-seq), and organoid phenotypes were quantified by serial brightfield imaging, digital image segmentation, and regression modeling of volumetric growth rates. …”
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Deep Learning-Based Fully Automatic Segmentation of the Paranasal Sinuses in Chronic Rhinosinusitis Patients Using Computed Tomographic Images by Yuhang Wang, Xiaolei Zhang, Weidong Du, Na Dai, Yi Lyv, Keying Wu, Yiyang Tian, Yuxin Jie, Yu Lin, Weipiao Kang

“…We chose a custom 3D nnU-Net v2 network model because of its excellent performance in the field of 3D medical image segmentation, especially in automated training and accurate segmentation of complex structures. …”
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