A Computer-Aided Diagnosis System for Breast Cancer Using Independent Component Analysis and Fuzzy Classifier by Ikhlas Abdel-Qader, Fadi Abu-Amara

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Incorporating Colour Information for Computer-Aided Diagnosis of Melanoma from Dermoscopy Images: A Retrospective Survey and Critical Analysis by Ali Madooei, Mark S. Drew

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Artificial intelligence performance in ultrasound-based lymph node diagnosis: a systematic review and meta-analysis by Xinyang Han, Jingguo Qu, Man-Lik Chui, Simon Takadiyi Gunda, Ziman Chen, Jing Qin, Ann Dorothy King, Winnie Chiu-Wing Chu, Jing Cai, Michael Tin-Cheung Ying

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The Prediction Model of High-Frequency Ultrasound Combined with Artificial Intelligence-Assisted Scoring System Improved the Diagnosis of Sclerosing Adenosis and Early Breast Cance... by Ma B, Wu G, Zhu H, Liu Y, Hu W, Zhao J, Liu Y, Liu Q

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Leveraging Partial Labels for Cervical Lesion Classification via a Multilabel Approach by Margaret Dy Manalo, Kota Aoki, Shuqiong Wu, Mariko Shindo, Yutaka Ueda, Yasushi Yagi

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Retracted: A Rapid Artificial Intelligence-Based Computer-Aided Diagnosis System for COVID-19 Classification from CT Images by Behavioural Neurology

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Detection of Masses in Mammogram Images Based on the Enhanced RetinaNet Network With INbreast Dataset by Wang M, Liu R, Luttrell IV J, Zhang C, Xie J

Subjects: “…computer-aided diagnosis…”
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Barriers and Facilitators to the Preadoption of a Computer-Aided Diagnosis Tool for Cervical Cancer: Qualitative Study on Health Care Providers’ Perspectives in Western Cameroon by Magali Jonnalagedda-Cattin, Alida Manoëla Moukam Datchoua, Virginie Flore Yakam, Bruno Kenfack, Patrick Petignat, Jean-Philippe Thiran, Klaus Schönenberger, Nicole C Schmidt

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Alzheimer’s disease diagnosis by 3D-SEConvNeXt by Zhongyi Hu, Yuhang Wang, Lei Xiao

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Multiview Multimodal Feature Fusion for Breast Cancer Classification Using Deep Learning by Sadam Hussain, Mansoor Ali Teevno, Usman Naseem, Daly Betzabeth Avendano Avalos, Servando Cardona-Huerta, Jose Gerardo Tamez-Pena

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Advances in colorectal cancer diagnosis using optimal deep feature fusion approach on biomedical images by Sultan Refa Alotaibi, Manal Abdullah Alohali, Mashael Maashi, Hamed Alqahtani, Moneerah Alotaibi, Ahmed Mahmud

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THERMAL IMAGES PRE-PROCESSING FOR EARLY DETECTION OF BREAST CANCER: A PROGRESSIVE REVIEW by Azman Brahim Llaguno Garcia, Arturo Orellana Garcia, Vivian Estrada Senti

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GastroFuse-Net: an ensemble deep learning framework designed for gastrointestinal abnormality detection in endoscopic images by Sonam Aggarwal, Isha Gupta, Ashok Kumar, Sandeep Kautish, Abdulaziz S. Almazyad, Ali Wagdy Mohamed, Frank Werner, Mohammad Shokouhifar

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IMPROVING PREDICTION ACCURACY OF DEEP LEARNING FOR BRAIN CANCER DIAGNOSIS USING POLYAK-RUPPERT OPTIMIZATION by M Muthulekshmi, Azath Mubarakali, Y M Blessy

Subjects: “…computer-aided diagnosis, brain cancer, deep learning, convolutional neural network, polyak ruppert optimization…”
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Ischemic Stroke Lesion Segmentation on Multiparametric CT Perfusion Maps Using Deep Neural Network by Ankit Kandpal, Rakesh Kumar Gupta, Anup Singh

Subjects: “…computer aided diagnosis…”
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Detection and Classification Method for Early-Stage Colorectal Cancer Using Dyadic Wavelet Packet Transform by Daigo Takano, Hajime Omura, Teruya Minamoto

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Explainable AI in Diagnostic Radiology for Neurological Disorders: A Systematic Review, and What Doctors Think About It by Yasir Hafeez, Khuhed Memon, Maged S. AL-Quraishi, Norashikin Yahya, Sami Elferik, Syed Saad Azhar Ali

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Artificially intelligent detection of retinal pigment sign using P3S-Net for retinitis pigmentosa analysis by Syed Muhammad Ali Imran, Abida Hussain, Nema Salem, Muhammad Arsalan

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Detecting Disease in Radiographs with Intuitive Confidence by Stefan Jaeger

“…This paper argues in favor of a specific type of confidence for use in computer-aided diagnosis and disease classification, namely, sine/cosine values of angles represented by points on the unit circle. …”
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Computer Aided Diagnostic Support System for Skin Cancer: A Review of Techniques and Algorithms by Ammara Masood, Adel Ali Al-Jumaily

“…Image-based computer aided diagnosis systems have significant potential for screening and early detection of malignant melanoma. …”
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