AI-based carcinoma detection and classification using histopathological images: A systematic review

S Prabhu, K Prasad, A Robels-Kelly, X Lu - Computers in Biology and …, 2022 - Elsevier
Histopathological image analysis is the gold standard to diagnose cancer. Carcinoma is a …
are the causes of leading deaths in developed countries, with colon cancer ranking second in …

Ensembling EfficientNets for the classification and interpretation of histopathology images

A Kallipolitis, K Revelos, I Maglogiannis - Algorithms, 2021 - mdpi.com
… for content-based image retrieval and classification of histopathology images. While firstly
… In this work, we focus on breast and colon cancer, which are distinguished as two of the …

Improved Water Strider Algorithm With Convolutional Autoencoder for Lung and Colon Cancer Detection on Histopathological Images

H Alqahtani, E Alabdulkreem, F Alotaibi… - IEEE …, 2023 - ieeexplore.ieee.org
… these cancers from histopathological images poses a complex challenge in medical diagnostics.
Advanced image … in histopathological slides. The integration of artificial intelligence in …

Optimized cancer detection on various magnified histopathological colon imagesbased on dwt features and fcm clustering

T Babu, T Singh, D Gupta… - Turkish Journal of …, 2022 - journals.tubitak.gov.tr
… biological aspects in histopathological images, the computerized diagnosis … colon cancer
in histopathology images has gained popularity. The images acquired using the histopathology

[PDF][PDF] Histopathological image analysis using image processing techniques: An overview

AD Belsare, MM Mushrif - Signal & Image Processing, 2012 - researchgate.net
histopathology image analysis for cancer detection and classification. Histopathology refers
… Here the homogeneous colon cancer images are used to obtain better results over intensity …

Deep learning techniques for detecting preneoplastic and neoplastic lesions in human colorectal histological images

P Sena, R Fioresi, F Faglioni, L Losi… - Oncology …, 2019 - spandidos-publications.com
… were obtained from 44 patients, preneoplastic lesions (ACF) from 45 patients, adenoma
images from 76 patients, and colon cancer tissue images from 58 patients diagnosed with CRC. …

Gland segmentation in colorectal cancer histopathological images using U-net inspired convolutional network

P Rastogi, K Khanna, V Singh - Neural Computing and Applications, 2022 - Springer
… accurate gland segmentation from digitized histopathological images. The existing studies
… from a wide range of histologic grades of cancer with greater precision by harnessing the …

A feature engineering-based machine learning technique to detect and classify lung and colon cancer from histopathological images

I Chhillar, A Singh - Medical & Biological Engineering & Computing, 2024 - Springer
… are considered an appropriate tool for diagnosing cancer, … in automatic histopathological
image classification. … classification of lung and colon cancers from histopathology images. In the …

Predicting lymph node metastasis using histopathological images based on multiple instance learning with deep graph convolution

Y Zhao, F Yang, Y Fang, H Liu… - Proceedings of the …, 2020 - openaccess.thecvf.com
… It achieved the state-of-the-art performance on classifying epithelial cells in colon cancer
by training on large-scale data. These two methods utilize different approaches to integrate …

Convolutional neural networks for automatic detection of colon adenocarcinoma based on histopathological images

Y Qasim, H Al-Sameai, O Ali, A Hassan - International Conference of …, 2020 - Springer
… very high, which means the model is very sensitive to images of colon adenocarcinoma and
suitable to be used as a diagnostic colon cancer. Our model also achieved an AUC of 99.6%…