Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning
Cancer is a fatal disease caused by a combination of genetic diseases and a variety of
biochemical abnormalities. Lung and colon cancer have emerged as two of the leading …
biochemical abnormalities. Lung and colon cancer have emerged as two of the leading …
[HTML][HTML] Computational pathology: a survey review and the way forward
Abstract Computational Pathology (CPath) is an interdisciplinary science that augments
developments of computational approaches to analyze and model medical histopathology …
developments of computational approaches to analyze and model medical histopathology …
[PDF][PDF] Large-scale domain-specific pretraining for biomedical vision-language processing
Contrastive pretraining on parallel image-text data has attained great success in vision-
language processing (VLP), as exemplified by CLIP and related methods. However, prior …
language processing (VLP), as exemplified by CLIP and related methods. However, prior …
Malignancy detection in lung and colon histopathology images using transfer learning with class selective image processing
Cancer accounts for a huge mortality rate due to its aggressiveness, colossal potential of
metastasis, and heterogeneity (causing resistance against chemotherapy). Lung and colon …
metastasis, and heterogeneity (causing resistance against chemotherapy). Lung and colon …
A machine learning approach to diagnosing lung and colon cancer using a deep learning-based classification framework
The field of Medicine and Healthcare has attained revolutionary advancements in the last
forty years. Within this period, the actual reasons behind numerous diseases were unveiled …
forty years. Within this period, the actual reasons behind numerous diseases were unveiled …
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 …
Quilt-1m: One million image-text pairs for histopathology
W Ikezogwo, S Seyfioglu, F Ghezloo… - Advances in neural …, 2024 - proceedings.neurips.cc
Recent accelerations in multi-modal applications have been made possible with the
plethora of image and text data available online. However, the scarcity of analogous data in …
plethora of image and text data available online. However, the scarcity of analogous data in …
[PDF][PDF] Lung cancer detection using convolutional neural network on histopathological images
BK Hatuwal, HC Thapa - Int. J. Comput. Trends Technol, 2020 - researchgate.net
Lung Cancer is one of the leading life taking cancer worldwide. Early detection and
treatment are crucial for patient recovery. Medical professionals use histopathological …
treatment are crucial for patient recovery. Medical professionals use histopathological …
Disease type detection in lung and colon cancer images using the complement approach of inefficient sets
M Toğaçar - Computers in Biology and Medicine, 2021 - Elsevier
Lung and colon cancers are deadly diseases that can develop simultaneously in organs and
adversely affect human life in some special cases. Although the frequency of simultaneous …
adversely affect human life in some special cases. Although the frequency of simultaneous …
Omnimedvqa: A new large-scale comprehensive evaluation benchmark for medical lvlm
Abstract Large Vision-Language Models (LVLMs) have demonstrated remarkable
capabilities in various multimodal tasks. However their potential in the medical domain …
capabilities in various multimodal tasks. However their potential in the medical domain …