EfCNN-Net: Smart Detection of Colon and Lung Cancer using Histopathological Images

N Kapoor, A Gupta, K Meenakshi - 2023 3rd International …, 2023 - ieeexplore.ieee.org
In low-and middle-income nations where there is little access to health care and cancer
screening, the death rate from lung cancer is highest. Contrarily, colon cancer is the …

Cancer diagnosis with the aid of artificial intelligence modeling tools

AE Danku, EH Dulf, RP Banut, H Silaghi… - IEEE Access, 2022 - ieeexplore.ieee.org
Cancer is one of the deadliest diseases in the present days. Its survivability is mostly
corelated to early detection and treatment, which means that it is of utmost importance to …

Performance of a deep learning-based identification system for esophageal cancer from CT images

M Takeuchi, T Seto, M Hashimoto, N Ichihara… - Esophagus, 2021 - Springer
Background Because cancers of hollow organs such as the esophagus are hard to detect
even by the expert physician, it is important to establish diagnostic systems to support …

Sa1252 the application of artificial intelligence to detect esophageal squamous cell carcinoma in movies using convoluntional neural networks

S Shiroma, T Yoshio, K Aoyama, A Ishiyama… - Gastrointestinal …, 2019 - giejournal.org
Background Esophageal cancer is the eighth most common cancer worldwide, and the sixth
cause of death. When esophageal cancer is diagnosed in advanced stage, it will require …

A new application based on GPLVM, LMNN, and NCA for early detection of the stomach cancer

SA Korkmaz, F Esmeray - Applied Artificial Intelligence, 2018 - Taylor & Francis
In this article, speeded-up robust features (SURF) for each image have been calculated.
Discrete Fourier transform (DFT) method has been applied to these SURF. High dimensions …

Detection of stomach cancer using deep neural network in healthcare sector

K Lokesh, S Srivastava, MP Kumar… - … on Advances in …, 2021 - ieeexplore.ieee.org
In this paper, we develop a deep learning model using dense neural network (DenseNet) to
detect the gastric cancer in stomach region using computerised tomography (CT) imaging …

Significant Advancements in Cancer Diagnosis Using Machine Learning

G Kaur, AS Arora - Cancer Prediction for Industrial IoT 4.0, 2021 - api.taylorfrancis.com
9.1 INTRODUCTION Medical image evaluation is critical in detecting abnormalities in
various organs. Most organ abnormalities result in rapid tumor growth, which is the most …

Gastric Cancer Diagnosis Using MIFNet Algorithm and Deep Learning Technique

M Chouhan, D Corinne Veril, P Prerana… - … Conference on Image …, 2022 - Springer
Gastric cancer (GC) is one among many common forms of cancer with poor prognosis.
Accompanied with such a poor prognosis, Gastric Cancer [GC] appears as one of the …

An Improved Method for Detection of Laryngeal Cancer and Its Stages

TM Inbamalar, T Jayashre, D Jayashre… - Proceedings of the …, 2021 - Springer
According to the fact sheet of GLOBOCAN 2018, the number of people suffering from oral
cancer is increased to 1, 19,992 in 2018 from 56,000 cases in 2012 which is about 11.4 …

Automated detection of colon cancer using deep learning

A Rajput, A Subasi - Applications of Artificial Intelligence in Medical …, 2023 - Elsevier
Colon cancer is a type of cancer that affects the large population. In the beginning, small
ploys are formed in the large intestine, which if left untreated become cancer. Detection of …