A survey on artificial intelligence in histopathology image analysis

MM Abdelsamea, U Zidan, Z Senousy… - … : Data Mining and …, 2022 - Wiley Online Library
The increasing adoption of the whole slide image (WSI) technology in histopathology has
dramatically transformed pathologists' workflow and allowed the use of computer systems in …

A comprehensive survey of intestine histopathological image analysis using machine vision approaches

Y **g, C Li, T Du, T Jiang, H Sun, J Yang, L Shi… - Computers in Biology …, 2023 - Elsevier
Colorectal Cancer (CRC) is currently one of the most common and deadly cancers. CRC is
the third most common malignancy and the fourth leading cause of cancer death worldwide …

GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection

H Chen, C Li, G Wang, X Li, MM Rahaman, H Sun… - Pattern Recognition, 2022 - Elsevier
In this paper, a multi-scale visual transformer model, referred as GasHis-Transformer, is
proposed for Gastric Histopathological Image Detection (GHID), which enables the …

IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach

H Chen, C Li, X Li, MM Rahaman, W Hu, Y Li… - Computers in Biology …, 2022 - Elsevier
In recent years, colorectal cancer has become one of the most significant diseases that
endanger human health. Deep learning methods are increasingly important for the …

Application of transfer learning and ensemble learning in image-level classification for breast histopathology

Y Zheng, C Li, X Zhou, H Chen, H Xu, Y Li… - Intelligent …, 2023 - mednexus.org
Background Breast cancer has the highest prevalence among all cancers in women
globally. The classification of histopathological images in the diagnosis of breast cancers is …

TOD-CNN: An effective convolutional neural network for tiny object detection in sperm videos

S Zou, C Li, H Sun, P Xu, J Zhang, P Ma, Y Yao… - Computers in Biology …, 2022 - Elsevier
The detection of tiny objects in microscopic videos is a problematic point, especially in large-
scale experiments. For tiny objects (such as sperms) in microscopic videos, current detection …

EBHI-Seg: A novel enteroscope biopsy histopathological hematoxylin and eosin image dataset for image segmentation tasks

L Shi, X Li, W Hu, H Chen, J Chen, Z Fan, M Gao… - Frontiers in …, 2023 - frontiersin.org
Background and purpose Colorectal cancer is a common fatal malignancy, the fourth most
common cancer in men, and the third most common cancer in women worldwide. Timely …

Accurate multiclassification and segmentation of gastric cancer based on a hybrid cascaded deep learning model with a vision transformer from endoscopic images

EU Haq, Q Yong, Z Yuan, H Jianjun, RU Haq, X Qin - Information Sciences, 2024 - Elsevier
Compared with other forms of cancer, gastric cancer has high mortality and incidence rates,
making it a major cause of death worldwide. Accurate diagnosis is crucial in the treatment of …

Dual-modality image feature fusion network for gastric precancerous lesions classification

J Wang, B Zhang, Y Wang, C Zhou, D Zou… - … Signal Processing and …, 2024 - Elsevier
Gastric precancerous conditions are closely linked to the development of gastric cancer.
However, the detection of gastric precancerous lesions (GPL) is limited by the indistinct …

Ar-HGSO: Autoregressive-Henry Gas Sailfish Optimization enabled deep learning model for diabetic retinopathy detection and severity level classification

JGR Elwin, J Mandala, B Maram, RR Kumar - … Signal Processing and …, 2022 - Elsevier
Diabetic Retinopathy (DR) is one the most important problems of diabetics and it directs to
the main cause of blindness. When proper treatment is afforded for DR patients, almost 90 …