A comprehensive review of deep learning in colon cancer
Deep learning has emerged as a leading machine learning tool in object detection and has
attracted attention with its achievements in progressing medical image analysis …
attracted attention with its achievements in progressing medical image analysis …
A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches
With the development of Computer-aided Diagnosis (CAD) and image scanning techniques,
Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis …
Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis …
Deep learning for whole slide image analysis: an overview
The widespread adoption of whole slide imaging has increased the demand for effective
and efficient gigapixel image analysis. Deep learning is at the forefront of computer vision …
and efficient gigapixel image analysis. Deep learning is at the forefront of computer vision …
Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images
Breast cancer tumor grade is strongly associated with patient survival. In current clinical
practice, pathologists assign tumor grade after visual analysis of tissue specimens …
practice, pathologists assign tumor grade after visual analysis of tissue specimens …
Applications of artificial intelligence in screening, diagnosis, treatment, and prognosis of colorectal cancer
H Qiu, S Ding, J Liu, L Wang, X Wang - Current Oncology, 2022 - mdpi.com
Colorectal cancer (CRC) is one of the most common cancers worldwide. Accurate early
detection and diagnosis, comprehensive assessment of treatment response, and precise …
detection and diagnosis, comprehensive assessment of treatment response, and precise …
Precision medicine in digital pathology via image analysis and machine learning
In this chapter, we present the concept that digital pathology and artificial intelligence can
add value and speed to a pathologist's diagnosis while striving toward precision medicine …
add value and speed to a pathologist's diagnosis while striving toward precision medicine …
Multifaceted fused-CNN based scoring of breast cancer whole-slide histopathology images
Automating the scoring of Whole-Slide Images (WSIs) is a challenging task because the
search space for selecting region of interest (ROI) is huge due to the very large sizes of …
search space for selecting region of interest (ROI) is huge due to the very large sizes of …
Tuberculosis bacteria detection and counting in fluorescence microscopy images using a multi-stage deep learning pipeline
The manual observation of sputum smears by fluorescence microscopy for the diagnosis
and treatment monitoring of patients with tuberculosis (TB) is a laborious and subjective …
and treatment monitoring of patients with tuberculosis (TB) is a laborious and subjective …
A comprehensive survey of intestine histopathological image analysis using machine vision approaches
Y Jing, 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 …
the third most common malignancy and the fourth leading cause of cancer death worldwide …
A deep learning approach for mitosis detection: application in tumor proliferation prediction from whole slide images
The tumor proliferation, which is correlated with tumor grade, is a crucial biomarker
indicative of breast cancer patients' prognosis. The most commonly used method in …
indicative of breast cancer patients' prognosis. The most commonly used method in …