One label is all you need: Interpretable AI-enhanced histopathology for oncology
Artificial Intelligence (AI)-enhanced histopathology presents unprecedented opportunities to
benefit oncology through interpretable methods that require only one overall label per …
benefit oncology through interpretable methods that require only one overall label per …
CAD systems for colorectal cancer from WSI are still not ready for clinical acceptance
Most oncological cases can be detected by imaging techniques, but diagnosis is based on
pathological assessment of tissue samples. In recent years, the pathology field has evolved …
pathological assessment of tissue samples. In recent years, the pathology field has evolved …
Strategies for enhancing the multi-stage classification performances of her2 breast cancer from hematoxylin and eosin images
MSH Shovon, MJ Islam, MNAK Nabil, MM Molla… - Diagnostics, 2022 - mdpi.com
Breast cancer is a significant health concern among women. Prompt diagnosis can diminish
the mortality rate and direct patients to take steps for cancer treatment. Recently, deep …
the mortality rate and direct patients to take steps for cancer treatment. Recently, deep …
iMIL4PATH: A semi-supervised interpretable approach for colorectal whole-slide images
Simple Summary Nowadays, colorectal cancer is the third most incident cancer worldwide
and, although it can be detected by imaging techniques, diagnosis is always based on …
and, although it can be detected by imaging techniques, diagnosis is always based on …
Analyzing histological images using hybrid techniques for early detection of multi-class breast Cancer based on Fusion features of CNN and Handcrafted
Breast cancer is the second most common type of cancer among women, and it can threaten
women's lives if it is not diagnosed early. There are many methods for detecting breast …
women's lives if it is not diagnosed early. There are many methods for detecting breast …
NSGA-II-DL: Metaheuristic optimal feature selection with Deep Learning Framework for HER2 classification in Breast Cancer
Immunohistochemistry (IHC) slides are graded for breast cancer based on visual markers
and morphological characteristics of stained membrane regions. The usage of whole slide …
and morphological characteristics of stained membrane regions. The usage of whole slide …
An interpretable machine learning system for colorectal cancer diagnosis from pathology slides
Considering the profound transformation affecting pathology practice, we aimed to develop
a scalable artificial intelligence (AI) system to diagnose colorectal cancer from whole-slide …
a scalable artificial intelligence (AI) system to diagnose colorectal cancer from whole-slide …
HER2GAN: Overcome the scarcity of HER2 breast cancer dataset based on transfer learning and GAN model
Introduction Immunohistochemistry (IHC) is crucial for breast cancer diagnosis,
classification, and individualized treatment. IHC is used to measure the levels of expression …
classification, and individualized treatment. IHC is used to measure the levels of expression …
Artificial intelligence for assisted HER2 immunohistochemistry evaluation of breast cancer: A systematic review and meta-analysis
S Wu, X Li, J Miao, D ** review
Advancements in digital pathology and computing resources have made a significant impact
in the field of computational pathology for breast cancer diagnosis and treatment. However …
in the field of computational pathology for breast cancer diagnosis and treatment. However …