Deep learning on histopathological images for colorectal cancer diagnosis: a systematic review

A Davri, E Birbas, T Kanavos, G Ntritsos, N Giannakeas… - Diagnostics, 2022 - mdpi.com
Colorectal cancer (CRC) is the second most common cancer in women and the third most
common in men, with an increasing incidence. Pathology diagnosis complemented with …

Resveratrol: biology, metabolism, and detrimental role on the tumor microenvironment of colorectal cancer

B Dariya, BP Girish, N Merchant, M Srilatha… - Nutrition …, 2023 - academic.oup.com
A substantial increase in colorectal cancer (CRC)–associated fatalities can be attributed to
tumor recurrence and multidrug resistance. Traditional treatment options, including radio …

[HTML][HTML] John charnley award: deep learning prediction of hip joint center on standard pelvis radiographs

SJ Jang, KN Kunze, JM Vigdorchik, SA Jerabek… - The Journal of …, 2022 - Elsevier
Background Accurate hip joint center (HJC) determination is critical for preoperative
planning, intraoperative execution, clinical outcomes after total hip arthroplasty, and …

Histopathological Image Classification with Cell Morphology Aware Deep Neural Networks

A Ignatov, J Yates, V Boeva - Proceedings of the IEEE/CVF …, 2024 - openaccess.thecvf.com
Histopathological images are widely used for the analysis of diseased (tumor) tissues and
patient treatment selection. While the majority of microscopy image processing was …

Recent Advancements in Deep Learning Using Whole Slide Imaging for Cancer Prognosis

M Lee - Bioengineering, 2023 - mdpi.com
This review furnishes an exhaustive analysis of the latest advancements in deep learning
techniques applied to whole slide images (WSIs) in the context of cancer prognosis …

MIHIC: a multiplex IHC histopathological image classification dataset for lung cancer immune microenvironment quantification

R Wang, Y Qiu, T Wang, M Wang, S Jin… - Frontiers in …, 2024 - frontiersin.org
Background Immunohistochemistry (IHC) is a widely used laboratory technique for cancer
diagnosis, which selectively binds specific antibodies to target proteins in tissue samples …

Prognostic role of macrophages and mast cells in the microenvironment of hepatocellular carcinoma after resection

E Ali, L Červenková, R Pálek, F Ambrozkiewicz… - BMC cancer, 2024 - Springer
Background The prognostic significance of mast cells and different phenotypes of
macrophages in the microenvironment of hepatocellular carcinoma (HCC) following …

Artificial intelligence for quantifying immune infiltrates interacting with stroma in colorectal cancer

J Yang, H Ye, X Fan, Y Li, X Wu, M Zhao, Q Hu… - Journal of Translational …, 2022 - Springer
Background We proposed an artificial intelligence-based immune index, Deep-immune
score, quantifying the infiltration of immune cells interacting with the tumor stroma in …

Pathological-Features-Modified TNM Staging System Improves Prognostic Accuracy for Rectal Cancer

Y Yang, Z Yang, Z Lyu, K Ouyang, J Wang… - Diseases of the Colon …, 2024 - journals.lww.com
BACKGROUND: Variations in survival outcomes are observed in the eighth edition of the
American Joint Committee on Cancer TNM staging system. OBJECTIVE: Machine learning …

Artificial intelligence-assisted analysis for tumor-immune interaction within the invasive margin of colorectal cancer

Y Ye, X Wu, H Wang, H Ye, K Zhao, S Yao, Z Liu… - Annals of …, 2023 - Taylor & Francis
Background In colorectal cancer (CRC), both tumor invasion and immunological analysis at
the tumor invasive margin (IM) are significantly associated with patient prognosis, but have …