Automated deep learning-based assessment of tumour-infiltrating lymphocyte density determines prognosis in colorectal cancer by Joshua Millward, Zhen He, Aiden Nibali, Dmitri Mouradov, Lisa A Mielke, Kelly Tran, Angela Chou, Nicholas J Hawkins, Robyn L Ward, Anthony J Gill, Oliver M Sieber, David S Williams

Subjects: Get full text

Validation of body composition parameters extracted via deep learning-based segmentation from routine computed tomographies by Felix O. Hofmann, Christian Heiliger, Tengis Tschaidse, Stefanie Jarmusch, Liv A. Auhage, Ughur Aghamaliyev, Alena B. Gesenhues, Tobias S. Schiergens, Hanno Niess, Matthias Ilmer, Jens Werner, Bernhard W. Renz

Subjects: Get full text

A survey of MRI-based brain tissue segmentation using deep learning by Liang Wu, Shirui Wang, Jun Liu, Lixia Hou, Na Li, Fei Su, Xi Yang, Weizhao Lu, Jianfeng Qiu, Ming Zhang, Li Song

Subjects: “…Brain tissue segmentation…”
Get full text

Developing an AI-powered wound assessment tool: a methodological approach to data collection and model optimization by Alessio Stefanelli, Sofia Zahia, Guillaume Chanel, Rania Niri, Swann Pichon, Sebastian Probst

Subjects: Get full text

Renal Biopsy Pathological Tissue Segmentation: A Comprehensive Review and Experimental Analysis by Yan Liu, Taiping Wang, Xinxin He, Wei Wang, Qiang He, Juan Jin

Subjects: “…Renal pathological tissue segmentation…”
Get full text

Optimization-Incorporated Deep Learning Strategy to Automate L3 Slice Detection and Abdominal Segmentation in Computed Tomography by Seungheon Chae, Seongwon Chae, Tae Geon Kang, Sung Jin Kim, Ahnryul Choi

Subjects: Get full text