A new imbalance-aware loss function to be used in a deep neural network for colorectal polyp segmentation
O Gökkan, M Kuntalp - Computers in Biology and Medicine, 2022 - Elsevier
Colorectal cancers may occur in colon region of human body because of late detection of
polyps. Therefore, colonoscopists often use colonoscopy device to view the entire colon in …
polyps. Therefore, colonoscopists often use colonoscopy device to view the entire colon in …
Transfer learning approach and nucleus segmentation with medclnet colon cancer database
Abstract Machine learning has been recently used especially in the medical field. In the
diagnosis of serious diseases such as cancer, deep learning techniques can be used to …
diagnosis of serious diseases such as cancer, deep learning techniques can be used to …
Interpretable survival prediction for colorectal cancer using deep learning
Deriving interpretable prognostic features from deep-learning-based prognostic
histopathology models remains a challenge. In this study, we developed a deep learning …
histopathology models remains a challenge. In this study, we developed a deep learning …
Dilatedsegnet: A deep dilated segmentation network for polyp segmentation
Colorectal cancer (CRC) is the second leading cause of cancer-related death worldwide.
Excision of polyps during colonoscopy helps reduce mortality and morbidity for CRC …
Excision of polyps during colonoscopy helps reduce mortality and morbidity for CRC …
Microscopic nuclei classification, segmentation, and detection with improved deep convolutional neural networks (DCNN)
Background Nuclei classification, segmentation, and detection from pathological images are
challenging tasks due to cellular heterogeneity in the Whole Slide Images (WSI). Methods In …
challenging tasks due to cellular heterogeneity in the Whole Slide Images (WSI). Methods In …
State-of-the-Art challenges and perspectives in multi-organ cancer diagnosis via deep learning-based methods
Simple Summary Cancer is a deadly disease that needs to be diagnose at early stage to
increase patient survival rate. Multi-organ (such as breast, brain, lung, and skin) cancer …
increase patient survival rate. Multi-organ (such as breast, brain, lung, and skin) cancer …
HL-FCN: Hybrid loss guided FCN for colorectal cancer segmentation
Colorectal cancer is among the leading cause of cancer-related mortalities. The cancerous
regions are conventionally delineated from 3D magnetic resonance images in a voxel-wise …
regions are conventionally delineated from 3D magnetic resonance images in a voxel-wise …
Colorectal histology tumor detection using ensemble deep neural network
S Ghosh, A Bandyopadhyay, S Sahay, R Ghosh… - … Applications of Artificial …, 2021 - Elsevier
With a mortality rate of approximately 33.33%, Colorectal cancer serves as the second most
prevalent malignant tumor type in the world. AI-guided clinical care/tool can help in reducing …
prevalent malignant tumor type in the world. AI-guided clinical care/tool can help in reducing …
Multiclass colorectal cancer histology images classification using vision transformers
MAE Zeid, K El-Bahnasy… - 2021 tenth international …, 2021 - ieeexplore.ieee.org
Colorectal cancer (CRC) is the third most diagnosed cancer form globally and the second
leading cause of cancer-related death after lung cancer. A precise histological …
leading cause of cancer-related death after lung cancer. A precise histological …
Colorectal disease classification using efficiently scaled dilation in convolutional neural network
Computer-aided diagnosis systems developed by computer vision researchers have helped
doctors to recognize several endoscopic colorectal diseases more rapidly, which allows …
doctors to recognize several endoscopic colorectal diseases more rapidly, which allows …