Data Science and Advanced Digital Technologies
Book:
Communications in Computer and Information Science
(Databases and Information Systems)
Volume 838
(2018),
p. 3
Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging
Ashwin Raju, Jiawen Yao, Mohammad MinHazul Haq, Jitendra Jonnagaddala, Junzhou Huang
Book:
Lecture Notes in Computer Science
(Medical Image Computing and Computer Assisted Intervention – MICCAI 2020)
Volume 12265
(2020),
p. 529
Detection and Classification of Tumor Tissues in Colorectal Cancer Using Pathology Images
Ponnarasee B. K, Lalithamani N
Book:
Springer Proceedings in Mathematics & Statistics
(Machine Learning and Big Data Analytics)
Volume 401
(2023),
p. 365
2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)
Justinas Jucevicius, Povilas Treigys, Jolita Bernataviciene, Mantas Trakymas, Ieva Naruseviciute, Ruta Briediene
2022 International Conference on Information Technology Research and Innovation (ICITRI)
Siti Khotimatul Wildah, Sarifah Agustiani, Abdul Latif, Rangga Pebrianto, Fuad Nur Hasan, Fintri Indriyani
Conference:
(2022),
p. 179
A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches
Xintong Li, Chen Li, Md Mamunur Rahaman, Hongzan Sun, Xiaoqi Li, Jian Wu, Yudong Yao, Marcin Grzegorzek
Journal:
Artificial Intelligence Review
Volume 55,
Issue 6
(2022),
p. 4809
Enhanced classification loss functions and regularization loss function (ECLFaRLF) algorithm for bowel cancer feature classification
Niraj Trivedi, Abeer Alsadoon, P. W. C. Prasad, Salma Abdullah, Ahmad Alrubaie
Journal:
Multimedia Tools and Applications
Volume 80,
Issue 14
(2021),
p. 21561