Effect of Feature selection on the performance of Liver Tumor classification using Neural Networks

M Rela, NR Suryakari, PR Reddy - 2021 2nd International …, 2021 - ieeexplore.ieee.org
Neural network designs have pushed the boundaries of clinical picture analysis achieving
remarkable performance in responsibilities together with tissue category and segmentation …

Systematic literature review on application of artificial intelligence in cancer detection using image processing

G Chandra, KD Irisha, VI Vica, PA Suri… - … and Data Sciences …, 2022 - ieeexplore.ieee.org
Having a low survival rate, cancer has become one of the deadliest diseases with
complicated prognosis. In this matter, Artificial Intelligence (AI) is frequently used to aid …

[PDF][PDF] Brain Tumor Detection using Convolutional Neural Network

GBJ Swamy, L Anusha, S Meghashree - International Journal for …, 2020 - academia.edu
Identification of brain tumor is a highly difficult task in early life stages. The presence of brain
tumor among humans has increased in large amounts in recent years. Gliomas are one of …

A Comprehensive Analysis of Identifying Lung Cancer via Different Machine Learning Approach

G Paliwal, U Kurmi - … on System Modeling & Advancement in …, 2021 - ieeexplore.ieee.org
Now a day's lungs are very important body part due to indomitable cancer problem rice in
patient. Lung cancer is the most harmful disease in human life. There are many patients …

Detection and Classification of Brain Tumor Using Convolutional Neural Network (CNN)

S Deshmukh, D Tiwari - Machine Learning and Big Data Analytics …, 2022 - Springer
An abnormal intracranial development of cells is called as Brain Tumor. This phenomenon
occurs due to some abnormalities in the functioning of the body where the cells start to …

Automated detection and characterization of colon cancer with deep convolutional neural networks

MI Hasan, MS Ali, MH Rahman… - Journal of Healthcare …, 2022 - Wiley Online Library
Colon cancer is a momentous reason for illness and death in people. The conclusive
diagnosis of colon cancer is made through histological examination. Convolutional neural …

Application and progress of convolutional neural network-based pathological diagnosis of gastric cancer

GUO Xin-meng, Z Hong-ying, SHI Zhong-yue… - Journal of Sichuan …, 2021 - jsu-mse.com
The incidence of gastric cancer is the highest among all kinds of malignant tumors in China.
Because gastric cancer is very hard to identify in its early stage, the early diagnosis rate of …

[HTML][HTML] A survey of computer-aided tumor diagnosis based on convolutional neural network

Y Yan, XJ Yao, SH Wang, YD Zhang - Biology, 2021 - mdpi.com
Simple Summary One of the hottest areas in deep learning is computerized tumor diagnosis
and treatment. The identification of tumor markers, the outline of tumor growth activity, and …

Analysis of CT images for detection of colorectal cancers using hybrid artificial neural networks and fire fly algorithm

P RS, SQ Cao - Procedia Computer Science, 2020 - Elsevier
The longest part of the large intestine or colon is called as rectum. The uncontrolled division
of cells in the colon forming a polyp at initial stage is called as colorectal cancer. Initially the …

Convolution neural network for detecting histopathological cancer detection

Z Zainudin, SM Shamsuddin, S Hasan… - Advanced Science …, 2018 - ingentaconnect.com
Mostly in Malaysia, the most fearful and deadlier cancer to women is breast cancer, thus it
needs early detection for better diseases prevention. There are many ways of detecting the …