[HTML][HTML] Deep learning for medical image-based cancer diagnosis

X Jiang, Z Hu, S Wang, Y Zhang - Cancers, 2023 - mdpi.com
Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …

Vision transformer promotes cancer diagnosis: A comprehensive review

X Jiang, S Wang, Y Zhang - Expert Systems with Applications, 2024 - Elsevier
Background The approaches based on vision transformers (ViTs) are advancing the field of
medical artificial intelligence (AI) and cancer diagnosis. Recently, many researchers have …

[HTML][HTML] A deep learning model to triage and predict adenocarcinoma on pancreas cytology whole slide imaging

A Sohn, D Miller, E Ribeiro, N Shankar, S Ali… - Scientific reports, 2023 - nature.com
Pancreatic fine-needle aspirations are the gold-standard diagnostic procedure for the
evaluation of pancreatic ductal adenocarcinoma. A suspicion for malignancy can escalate …

[HTML][HTML] Artificial Intelligence in Pancreatic Image Analysis: A Review

W Liu, B Zhang, T Liu, J Jiang, Y Liu - Sensors, 2024 - mdpi.com
Pancreatic cancer is a highly lethal disease with a poor prognosis. Its early diagnosis and
accurate treatment mainly rely on medical imaging, so accurate medical image analysis is …

Federated and Transfer Learning for Cancer Detection Based on Image Analysis

A Bechar, Y Elmir, Y Himeur, R Medjoudj… - arXiv preprint arXiv …, 2024 - arxiv.org
This review article discusses the roles of federated learning (FL) and transfer learning (TL) in
cancer detection based on image analysis. These two strategies powered by machine …

PuzzleTuning: Explicitly Bridge Pathological and Natural Image with Puzzles

T Zhang, S Lyu, Y Lei, S Chen, N Ying, Y He… - arXiv preprint arXiv …, 2023 - arxiv.org
Pathological image analysis is a crucial field in computer vision. Due to the annotation
scarcity in the pathological field, recently, most of the works leverage self-supervised …

CellMix: A General Instance Relationship based Method for Data Augmentation Towards Pathology Image Classification

T Zhang, Z Yan, C Li, N Ying, Y Lei, Y Feng… - arXiv preprint arXiv …, 2023 - arxiv.org
In pathology image analysis, obtaining and maintaining high-quality annotated samples is
an extremely labor-intensive task. To overcome this challenge, mixing-based methods have …

[PDF][PDF] A Systematic Literature Review on Vision Transformers applications in Histopathology and Cytopathology: Advances in Cellular Analysis

LO Santos, A von Wangenheim, FSM Barroso… - researchgate.net
Cytopathology is a specialized branch of cytology that focuses on the study of diseases at
the cellular level. The Examination involves assessing cells' morphology, color and texture …