Using novel method with convolutional neural network for colorectal cancer classification

S Tanwar, S Vijayalakshmi… - Annals of the Romanian …, 2021 - annalsofrscb.ro
Detection of diseases with the help of computer has helped the doctors in recognizing the
colorectal cancer more efficiently, that further helps in treatment and increases the survival …

Classification of histopathological images of colon cancer using convolutional neural network method

YGC Kelana, S Rizal, S Saidah - … International Conference on …, 2023 - ieeexplore.ieee.org
Colon cancer is cancer with the most deaths in Indonesian society. Detection of disease
through histopathological images of colon cancer still uses manual methods with readings …

Convolution neural network based model to classify colon cancerous tissue

K Yadav, S Tiwari, A Jain, J Alshudukhi - Multimedia Tools and …, 2022 - Springer
Computer vision-based methods play a significant role in the recognition of cancerous tissue
from histopathological images. Therefore, computer-assisted diagnosis systems provide an …

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
Colorectal cancer is the second type of cancer that causes death and the third in terms of
prevalence and number of cases. Due to the absence of symptoms in the early stages of the …

Non-complex CNN models for colorectal cancer (CRC) classification based on histological images

N Ibrahim, NKC Pratiwi, MA Pramudito… - Proceedings of the 1st …, 2021 - Springer
Colorectal cancer become a significant public health issue and is the world's second leading
cause of death from cancer. Cancer becomes a very dangerous disease, because it gives …

[PDF][PDF] Comparison of Convolution Neural Network Architecture for Colon Cancer Classification.

ID Irawati, IA Larasaty… - International Journal of …, 2022 - pdfs.semanticscholar.org
In 2021, colon cancer is the second most common cause of death for this type of cancer.
Therefore, in this study, a colon cancer classification system was developed to help medical …

Deep Learning for Histopathological Image Analysis: A Convolutional Neural Network Approach to Colon Cancer Classification

S Agustiani, Y Rianto - Telematika, 2024 - ejournal.amikompurwokerto.ac.id
Colon cancer is a type of cancer that attacks the last part of the human digestive tract.
Factors such as an unhealthy diet, low fiber consumption, and high animal protein and fat …

Adenocarcinoma recognition in endoscopy images using optimized convolutional neural networks

HC Park, YJ Kim, SW Lee - Applied Sciences, 2020 - mdpi.com
Colonoscopy, which refers to the endoscopic examination of colon using a camera, is
considered as the most effective method for diagnosis of colorectal cancer. Colonoscopy is …

Deep learning-based colon cancer tumor prediction using histopathological images

RD Mohalder, FB Ali, L Paul… - 2022 25th International …, 2022 - ieeexplore.ieee.org
Colorectal cancer is one of the deadliest diseases and one of the most difficult diseases to
diagnose. A big reason for this is that it takes a long time to identify at an early stage. For …

An efficient convolutional neural network for classification of multi-class colorectal tissue using histopathological images

A Kumar, A Vishwakarma… - 2022 IEEE 6th Conference …, 2022 - ieeexplore.ieee.org
Colorectal cancer (CRC) has a high fatality rate that continuously influences human lives
worldwide. Early diagnosis of CRC prolongs human life and helps to prevent the disease …