[HTML][HTML] A review of uncertainty estimation and its application in medical imaging
The use of AI systems in healthcare for the early screening of diseases is of great clinical
importance. Deep learning has shown great promise in medical imaging, but the reliability …
importance. Deep learning has shown great promise in medical imaging, but the reliability …
[HTML][HTML] Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
The full acceptance of Deep Learning (DL) models in the clinical field is rather low with
respect to the quantity of high-performing solutions reported in the literature. End users are …
respect to the quantity of high-performing solutions reported in the literature. End users are …
Prediction of subclinical and clinical multiple organ failure dysfunction in breast cancer patients—a review using AI tools
Simple Summary The paper discusses precursor lesions of breast cancer and the
subclinical syndrome of multiple organ failure, representing early disease stages with …
subclinical syndrome of multiple organ failure, representing early disease stages with …
EfficientNetB0 cum FPN based semantic segmentation of gastrointestinal tract organs in MRI scans
The segmentation of gastrointestinal (GI) organs is crucial in radiation therapy for treating GI
cancer. It allows for developing a targeted radiation therapy plan while minimizing radiation …
cancer. It allows for developing a targeted radiation therapy plan while minimizing radiation …
[PDF][PDF] Enhancing GI Cancer Radiation Therapy: Advanced Organ Segmentation with ResECA-U-Net Model
This research introduces a pioneering solution to the challenges posed by gastrointestinal
tract (GI) cancer in radiation therapy, focusing on the imperative task of precise organ …
tract (GI) cancer in radiation therapy, focusing on the imperative task of precise organ …
Semantic Segmentation of Gastrointestinal Tract in MRI Scans Using PSPNet Model With ResNet34 Feature Encoding Network
Gastrointestinal (GI) cancer is the most common cancer in men and women. GI cancers are
increasing every year worldwide. In the biomedical industry, Radiation treatment is a …
increasing every year worldwide. In the biomedical industry, Radiation treatment is a …
Quantifying and visualising uncertainty in deep learning-based segmentation for radiation therapy treatment planning: What do radiation oncologists and therapists …
M Huet-Dastarac, NMC van Acht, FC Maruccio… - Radiotherapy and …, 2024 - Elsevier
Background and purpose During the ESTRO 2023 physics workshop on “AI for the fully
automated radiotherapy treatment chain”, the topic of deep learning (DL) segmentation was …
automated radiotherapy treatment chain”, the topic of deep learning (DL) segmentation was …
UMobileNetV2 model for semantic segmentation of gastrointestinal tract in MRI scans
Gastrointestinal (GI) cancer is leading general tumour in the Gastrointestinal tract, which is
fourth significant reason of tumour death in men and women. The common cure for GI …
fourth significant reason of tumour death in men and women. The common cure for GI …
Advanced gastrointestinal tract organ differentiation using an integrated swin transformer U-Net model for cancer care
The segmentation of gastrointestinal (GI) organs, including the stomach, small intestine, and
large intestine, is crucial for radio oncologists to plan effective cancer therapy. This study …
large intestine, is crucial for radio oncologists to plan effective cancer therapy. This study …
Assessing the Impact of Organ Failure and Metastases on Quality of Life in Breast Cancer Patients: A Prospective Study Based on Utilizing EORTC QLQ-C30 and …
AI Ionescu, AV Anghel, IL Antone-Iordache… - Journal of Personalized …, 2024 - mdpi.com
Breast cancer (BC) significantly impacts the quality of life (QoL) of affected individuals. This
study, conducted at Colțea Clinical Hospital, Bucharest, aimed to assess the impact of …
study, conducted at Colțea Clinical Hospital, Bucharest, aimed to assess the impact of …