SwinCup: Cascaded swin transformer for histopathological structures segmentation in colorectal cancer

Guidance Image-Based Enhanced Matched Filter with Modified Thresholding for Blood Vessel Extraction

(2022) Sonali Dash et al.   Symmetry-Basel

Cancerous Tumor Controlled Treatment Using Search Heuristic (GA)-Based Sliding Mode and Synergetic Controller

(2022) Fazal Subhan et al.   Cancers

CSwin-PNet: A CNN-Swin Transformer combined pyramid network for breast lesion segmentation in ultrasound images

(2022) Haonan Yang et al.   EXPERT SYSTEMS WITH APPLICATIONS

MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images

(2021) Devidas T. Kushnure et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Rethinking pre-training on medical imaging

(2021) Yang Wen et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

Revise-Net: Exploiting Reverse Attention Mechanism for Salient Object Detection

(2021) Rukhshanda Hussain et al.   Remote Sensing

Deep Learning Models for Histopathological Classification of Gastric and Colonic Epithelial Tumours

(2020) Osamu Iizuka et al.   Scientific Reports

Automatic deep learning-based colorectal adenoma detection system and its similarities with pathologists

(2020) Zhigang Song et al.   BMJ Open

Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard

(2019) Wouter Bulten et al.   Scientific Reports

Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge

(2019) Mitko Veta et al.   MEDICAL IMAGE ANALYSIS

Glandular Morphometrics for Objective Grading of Colorectal Adenocarcinoma Histology Images

(2017) Ruqayya Awan et al.   Scientific Reports