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Subcategories: Atopy Psoriasis

Showing 2395-2415 of 4,172 articles

Longitudinal Assessment of Lung Lesion Burden in CT

In the U.S., lung cancer is the second major cause of death. Early detection of suspicious lung no...

Apr 2025 http://arxiv.org/abs/2504.06924v1

Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT

Radiologists routinely detect and size lesions in CT to stage cancer and assess tumor burden. To p...

Apr 2025 http://arxiv.org/abs/2504.05591v1

An ensemble deep learning approach to detect tumors on Mohs micrographic surgery slides

Mohs micrographic surgery (MMS) is the gold standard technique for removing high risk nonmelanoma ...

(1)

Apr 2025 http://arxiv.org/abs/2504.05219v1

Correcting Class Imbalances with Self-Training for Improved Universal Lesion Detection and Tagging

Universal lesion detection and tagging (ULDT) in CT studies is critical for tumor burden assessmen...

(2)

Apr 2025 http://arxiv.org/abs/2504.05207v1

3D Universal Lesion Detection and Tagging in CT with Self-Training

Radiologists routinely perform the tedious task of lesion localization, classification, and size m...

Apr 2025 http://arxiv.org/abs/2504.05201v1

Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors

Trustworthy artificial intelligence (AI) is essential in healthcare, particularly for high-stakes ...

(2)

Apr 2025 http://arxiv.org/abs/2504.04814v2

Skin Color Measurement from Dermatoscopic Images: An Evaluation on a Synthetic Dataset

This paper presents a comprehensive evaluation of skin color measurement methods from dermatoscopi...

(3)

Apr 2025 http://arxiv.org/abs/2504.04494v1

Multi-Granularity Vision Fastformer with Fusion Mechanism for Skin Lesion Segmentation

Background:Convolutional Neural Networks(CNN) and Vision Transformers(ViT) are the main techniques...

(1)

Apr 2025 http://arxiv.org/abs/2504.03108v1

Lightweight Deep Models for Dermatological Disease Detection: A Study on Instance Selection and Channel Optimization

The identification of dermatological disease is an important problem in Mexico according with diff...

Apr 2025 http://arxiv.org/abs/2504.01208v1

Artificial Intelligence-Enabled Wearable Devices and Nocturnal Scratching in Mild Atopic Dermatitis.

IMPORTANCE: Although more than 1 in 10 people experience pruritus, there are limited medical technol...

(1)

Apr 2025 39908036

Artificial Intelligence Predicts Fitzpatrick Skin Type, Pigmentation, Redness, and Wrinkle Severity From Color Photographs of the Face.

BACKGROUND: Due to high patient demand, increasing numbers of non-dermatologists are performing skin...

(1)

Apr 2025 40135957

Machine Learning Unveils Sphingolipid Metabolism's Role in Tumour Microenvironment and Immunotherapy in Lung Cancer.

TME is a core player in the development of a cancerous lesion, the immune evasive potential of the l...

(2)

Apr 2025 40159631

Predicting Targeted Therapy Resistance in Non-Small Cell Lung Cancer Using Multimodal Machine Learning

Lung cancer is the primary cause of cancer death globally, with non-small cell lung cancer (NSCLC)...

(2)

Mar 2025 http://arxiv.org/abs/2503.24165v1

A Multi-Stage Auto-Context Deep Learning Framework for Tissue and Nuclei Segmentation and Classification in H&E-Stained Histological Images of Advanced Melanoma

Melanoma is the most lethal form of skin cancer, with an increasing incidence rate worldwide. Anal...

Mar 2025 http://arxiv.org/abs/2503.23958v1

Exploring Robustness of Cortical Morphometry in the presence of white matter lesions, using Diffusion Models for Lesion Filling

Cortical thickness measurements from magnetic resonance imaging, an important biomarker in many ne...

(1)

Mar 2025 http://arxiv.org/abs/2503.20571v1

Unpaired Translation of Chest X-ray Images for Lung Opacity Diagnosis via Adaptive Activation Masks and Cross-Domain Alignment

Chest X-ray radiographs (CXRs) play a pivotal role in diagnosing and monitoring cardiopulmonary di...

Mar 2025 http://arxiv.org/abs/2503.19860v1

Browse Categories

Longitudinal Assessment of Lung Lesion Burden in CT

Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT

An ensemble deep learning approach to detect tumors on Mohs micrographic surgery slides

Correcting Class Imbalances with Self-Training for Improved Universal Lesion Detection and Tagging

3D Universal Lesion Detection and Tagging in CT with Self-Training

Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors

Skin Color Measurement from Dermatoscopic Images: An Evaluation on a Synthetic Dataset

Multi-Granularity Vision Fastformer with Fusion Mechanism for Skin Lesion Segmentation

Lightweight Deep Models for Dermatological Disease Detection: A Study on Instance Selection and Channel Optimization

Artificial Intelligence-Enabled Wearable Devices and Nocturnal Scratching in Mild Atopic Dermatitis.

Artificial Intelligence Predicts Fitzpatrick Skin Type, Pigmentation, Redness, and Wrinkle Severity From Color Photographs of the Face.

Machine Learning Unveils Sphingolipid Metabolism's Role in Tumour Microenvironment and Immunotherapy in Lung Cancer.

Predicting Targeted Therapy Resistance in Non-Small Cell Lung Cancer Using Multimodal Machine Learning

A Multi-Stage Auto-Context Deep Learning Framework for Tissue and Nuclei Segmentation and Classification in H&E-Stained Histological Images of Advanced Melanoma

Exploring Robustness of Cortical Morphometry in the presence of white matter lesions, using Diffusion Models for Lesion Filling

Unpaired Translation of Chest X-ray Images for Lung Opacity Diagnosis via Adaptive Activation Masks and Cross-Domain Alignment

ASP-VMUNet: Atrous Shifted Parallel Vision Mamba U-Net for Skin Lesion Segmentation

Wavelet-based Global-Local Interaction Network with Cross-Attention for Multi-View Diabetic Retinopathy Detection

Learning to segment anatomy and lesions from disparately labeled sources in brain MRI

DermDiff: Generative Diffusion Model for Mitigating Racial Biases in Dermatology Diagnosis

Fed-NDIF: A Noise-Embedded Federated Diffusion Model For Low-Count Whole-Body PET Denoising

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