Comparison of Deep Learning Models for Efficient Classification of Gastric Abnormalities

R Munirathinam, M Latha… - … Conference on Bio …, 2024 - ieeexplore.ieee.org
Gastric cancer stands out as one of the most prevalent malignancies globally, holding the
fourth position in terms of cancer-related fatalities. This intricate disease is shaped by a mix …

DCNET: a novel implementation of gastric cancer detection system through deep learning convolution networks

S Sharanyaa, S Vijayalakshmi… - 2022 international …, 2022 - ieeexplore.ieee.org
To evaluate the Early Gastric Cancer (EGC) detection in humans one of the most common
diseases that act as neoplastic disease and second-largest fatal tumor-based disease …

Automated identification of gastric cancer in endoscopic images by a deep learning model

C Jasphin, J Merry Geisa - Automatika, 2024 - Taylor & Francis
Gastric cancer is a deadly disease which should be treated in time, in order to increase the
life span of the patient. Computer aided diagnosis will help the doctors to identify the gastric …

Detection and classification of gastric precancerous diseases using deep learning

S Hatami, R Shamsaee… - 2020 6th Iranian …, 2020 - ieeexplore.ieee.org
nowadays, there are different types of endoscopic images due to the dramatic development
of medical imaging technologies and according to the sensitivity of this issue, proper …

[PDF][PDF] Ensembles of Deep Learning Framework for Stomach Abnormalities Classification.

T Saeed, C Kiong Loo… - Computers, Materials & …, 2022 - academia.edu
Abnormalities of the gastrointestinal tract are widespread worldwide today. Generally, an
effective way to diagnose these life-threatening diseases is based on endoscopy, which …

Convolution Neural Network for Gastrointestinal Cancer Detection and Classification using Deep Learning

R Sathishkumar, M Nirmalraj… - 2023 International …, 2023 - ieeexplore.ieee.org
Ailments of the gastrointestinal tract (GIT), including bleeding, ulcers, polyps, Crohn's
disease, and cancer, are becoming more prevalent. Ulcers and bleeding in the small and …

Classification of gastric precancerous diseases using hybrid cnn-svm

J Islam, S Bhuiyan, A Hossain… - 2021 3rd International …, 2021 - ieeexplore.ieee.org
Gastric cancer (stomach cancer) is now the sixth most common diagnosed cancer and the
third leading cause of cancer mortality in the world. Gastric Erosion, Gastric Ulcer, and …

StomachNet: Optimal deep learning features fusion for stomach abnormalities classification

MA Khan, MS Sarfraz, M Alhaisoni, AA Albesher… - IEEE …, 2020 - ieeexplore.ieee.org
A fully automated design is proposed in this work employing optimal deep learning features
for classifying gastrointestinal infections. Here, three prominent infections–ulcer, bleeding …

A novel approach for increased convolutional neural network performance in gastric-cancer classification using endoscopic images

SA Lee, HC Cho, HC Cho - IEEE Access, 2021 - ieeexplore.ieee.org
Gastric cancer is the third-most-common cause of cancer-related deaths in the world.
Fortunately, it can be detected using endoscopy equipment. Computer-aided diagnosis …

Deep learning techniques in gastric cancer prediction and diagnosis

P Bhardwaj, S Kumar, Y Kumar - 2022 international conference …, 2022 - ieeexplore.ieee.org
Gastric cancer is becoming a worldwide concern as it is the fourth leading cause of cancer-
related deaths. It is a disease that is dependent on several factors. This paper presents a …