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Segment anything model for medical images?
Abstract The Segment Anything Model (SAM) is the first foundation model for general image
segmentation. It has achieved impressive results on various natural image segmentation …
segmentation. It has achieved impressive results on various natural image segmentation …
Balanced-mixup for highly imbalanced medical image classification
A Galdran, G Carneiro… - Medical Image Computing …, 2021 - Springer
Highly imbalanced datasets are ubiquitous in medical image classification problems. In such
problems, it is often the case that rare classes associated to less prevalent diseases are …
problems, it is often the case that rare classes associated to less prevalent diseases are …
DDANet: Dual decoder attention network for automatic polyp segmentation
NK Tomar, D Jha, S Ali, HD Johansen… - … and Challenges: Virtual …, 2021 - Springer
Colonoscopy is the gold standard for examination and detection of colorectal polyps.
Localization and delineation of polyps can play a vital role in treatment (eg, surgical …
Localization and delineation of polyps can play a vital role in treatment (eg, surgical …
Nanonet: Real-time polyp segmentation in video capsule endoscopy and colonoscopy
D Jha, NK Tomar, S Ali, MA Riegler… - 2021 IEEE 34th …, 2021 - ieeexplore.ieee.org
Deep learning in gastrointestinal endoscopy can assist to improve clinical performance and
be helpful to assess lesions more accurately. To this extent, semantic segmentation methods …
be helpful to assess lesions more accurately. To this extent, semantic segmentation methods …
Li-segpnet: Encoder-decoder mode lightweight segmentation network for colorectal polyps analysis
Objective: One of the fundamental and crucial tasks for the automated diagnosis of
colorectal cancer is the segmentation of the acute gastrointestinal lesions, most commonly …
colorectal cancer is the segmentation of the acute gastrointestinal lesions, most commonly …
CFHA-Net: A polyp segmentation method with cross-scale fusion strategy and hybrid attention
Colorectal cancer is a prevalent disease in modern times, with most cases being caused by
polyps. Therefore, the segmentation of polyps has garnered significant attention in the field …
polyps. Therefore, the segmentation of polyps has garnered significant attention in the field …
Cross-modal hybrid architectures for gastrointestinal tract image analysis: A systematic review and futuristic applications
P Nemani, VSS Vadali, PR Medi, A Marisetty… - Image and Vision …, 2024 - Elsevier
This review paper presents an in-depth exploration of gastrointestinal (GI) tract image
analysis, particularly emphasizing organ and polyp segmentation. It addresses the inherent …
analysis, particularly emphasizing organ and polyp segmentation. It addresses the inherent …
DeepPoly: deep learning-based polyps segmentation and classification for autonomous colonoscopy examination
MS Hossain, MM Rahman, MM Syeed, MF Uddin… - IEEE …, 2023 - ieeexplore.ieee.org
Colorectal cancer (CRC) is the third most common cause of cancer-related deaths in the
United States and is anticipated to cause another 52,580 deaths in 2023. The standard …
United States and is anticipated to cause another 52,580 deaths in 2023. The standard …
On the optimal combination of cross-entropy and soft dice losses for lesion segmentation with out-of-distribution robustness
A Galdran, G Carneiro, MAG Ballester - Diabetic Foot Ulcers Grand …, 2022 - Springer
We study the impact of different loss functions on lesion segmentation from medical images.
Although the Cross-Entropy (CE) loss is the most popular option when dealing with natural …
Although the Cross-Entropy (CE) loss is the most popular option when dealing with natural …
Pefnet: Positional embedding feature for polyp segmentation
TH Nguyen-Mau, QH Trinh, NT Bui, PTV Thi… - … on Multimedia Modeling, 2023 - Springer
With the development of biomedical computing, the segmentation task is integral in hel**
the doctor correctly identify the position of the polyps or the ache in the system. However …
the doctor correctly identify the position of the polyps or the ache in the system. However …