A survey of feature extraction and fusion of deep learning for detection of abnormalities in video endoscopy of gastrointestinal-tract
A standard screening procedure involves video endoscopy of the Gastrointestinal tract. It is a
less invasive method which is practiced for early diagnosis of gastric diseases. Manual …
less invasive method which is practiced for early diagnosis of gastric diseases. Manual …
Early esophageal adenocarcinoma detection using deep learning methods
Purpose This study aims to adapt and evaluate the performance of different state-of-the-art
deep learning object detection methods to automatically identify esophageal …
deep learning object detection methods to automatically identify esophageal …
Esophageal abnormality detection using densenet based faster r-cnn with gabor features
Early detection of esophageal abnormalities can help in preventing the progression of the
disease into later stages. During esophagus examination, abnormalities are often …
disease into later stages. During esophagus examination, abnormalities are often …
Computer vision in esophageal cancer: a literature review
I Domingues, IL Sampaio, H Duarte, JAM Santos… - IEEE …, 2019 - ieeexplore.ieee.org
Esophageal cancer is a disease with a high prevalence that can be evaluated by a variety of
imaging modalities, including endoscopy, computed tomography, and positron emission …
imaging modalities, including endoscopy, computed tomography, and positron emission …
Identification of early esophageal cancer by semantic segmentation
YJ Fang, A Mukundan, YM Tsao, CW Huang… - Journal of Personalized …, 2022 - mdpi.com
Early detection of esophageal cancer has always been difficult, thereby reducing the overall
five-year survival rate of patients. In this study, semantic segmentation was used to predict …
five-year survival rate of patients. In this study, semantic segmentation was used to predict …
Computer assisted gastric abnormalities detection using hybrid texture descriptors for chromoendoscopy images
Abstract Background and Objective The early diagnosis of stomach cancer can be
performed by using a proper screening procedure. Chromoendoscopy (CH) is an image …
performed by using a proper screening procedure. Chromoendoscopy (CH) is an image …
Evolutionary neural architecture search for automatic esophageal lesion identification and segmentation
Automatic esophageal lesion identification (ESEI) is of great importance to clinically aid the
endoscopists with the early detection of esophageal cancer. However, accurate …
endoscopists with the early detection of esophageal cancer. However, accurate …
Development of an ensemble CNN model with explainable AI for the classification of gastrointestinal cancer
The implementation of AI assisted cancer detection systems in clinical environments has
faced numerous hurdles, mainly because of the restricted explainability of their elemental …
faced numerous hurdles, mainly because of the restricted explainability of their elemental …
Esophageal cancer detection framework based on time series information from smear images
The gold standard for esophageal cancer diagnosis and treatment is the Thinprep Cytologic
Test (TCT) of suspected sections. TCT refers to analyze the features of the lesion areas …
Test (TCT) of suspected sections. TCT refers to analyze the features of the lesion areas …
Endoscopic image analysis using deep convolutional gan and traditional data augmentation
One big challenge encountered in the medical field is the availability of only limited
annotated datasets for research. On the other hand, medical image annotation requires a lot …
annotated datasets for research. On the other hand, medical image annotation requires a lot …