Buchumschlag

Robust Melanoma Thickness Prediction via Deep Transfer Learning enhanced by XAI Techniques

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Nogales, Miguel, Acha, Begoña, Alarcón, Fernando, Pereyra, José, Serrano, Carmen
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

MultiTask Learning AI system to assist BCC diagnosis with dual explanation
von: Matas, Iván, et al.
Veröffentlicht: (2024)

Hybrid Deep Learning Framework for Enhanced Melanoma Detection
von: Zhang, Peng, et al.
Veröffentlicht: (2024)

Predicting Mitral Valve mTEER Surgery Outcomes Using Machine Learning and Deep Learning Techniques
von: Vyas, Tejas, et al.
Veröffentlicht: (2024)

Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques
von: Hong, Ziliang, et al.
Veröffentlicht: (2024)

Towards Scalable and Robust White Matter Lesion Localization via Multimodal Deep Learning
von: Machnio, Julia, et al.
Veröffentlicht: (2025)

Advanced Deep Learning Techniques for Automated Segmentation of Type B Aortic Dissections
von: Xu, Hao, et al.
Veröffentlicht: (2025)

A Noncontact Technique for Wave Measurement Based on Thermal Stereography and Deep Learning
von: Li, Deyu, et al.
Veröffentlicht: (2024)

Evaluating Deep Learning-based Melanoma Classification using Immunohistochemistry and Routine Histology: A Three Center Study
von: Wies, Christoph, et al.
Veröffentlicht: (2023)

Advancements in Feature Extraction Recognition of Medical Imaging Systems Through Deep Learning Technique
von: Zhan, Qishi, et al.
Veröffentlicht: (2024)

Explainable Lung Disease Classification from Chest X-Ray Images Utilizing Deep Learning and XAI
von: Ifty, Tanzina Taher, et al.
Veröffentlicht: (2024)

Deep Learning Innovations in Diagnosing Diabetic Retinopathy: The Potential of Transfer Learning and the DiaCNN Model
von: Shoaib, Mohamed R., et al.
Veröffentlicht: (2024)

Deep Learning Approach for Enhancing Oral Squamous Cell Carcinoma with LIME Explainable AI Technique
von: Islam, Samiha, et al.
Veröffentlicht: (2024)

Deep Learning for Lung Disease Classification Using Transfer Learning and a Customized CNN Architecture with Attention
von: Liu, Xiaoyi, et al.
Veröffentlicht: (2024)

Using Multiple Dermoscopic Photographs of One Lesion Improves Melanoma Classification via Deep Learning: A Prognostic Diagnostic Accuracy Study
von: Hekler, Achim, et al.
Veröffentlicht: (2023)

A Study of Data Augmentation Techniques to Overcome Data Scarcity in Wound Classification using Deep Learning
von: Narayanan, Harini, et al.
Veröffentlicht: (2024)

Predicting Genetic Mutations from Single-Cell Bone Marrow Images in Acute Myeloid Leukemia Using Noise-Robust Deep Learning Models
von: Jain, Garima, et al.
Veröffentlicht: (2025)

Detecting Wildfire Flame and Smoke through Edge Computing using Transfer Learning Enhanced Deep Learning Models
von: Vazquez, Giovanny, et al.
Veröffentlicht: (2025)

Computer-Aided Osteoporosis Diagnosis Using Transfer Learning with Enhanced Features from Stacked Deep Learning Modules
von: Siddiqua, Ayesha, et al.
Veröffentlicht: (2024)

Unlocking Robust Segmentation Across All Age Groups via Continual Learning
von: Liu, Chih-Ying, et al.
Veröffentlicht: (2024)

Let There Be Light: Robust Lensless Imaging Under External Illumination With Deep Learning
von: Bezzam, Eric, et al.
Veröffentlicht: (2024)

The Impact of Lesion Focus on the Performance of AI-Based Melanoma Classification
von: Donde, Tanay
Veröffentlicht: (2026)

A study on Deep Convolutional Neural Networks, Transfer Learning and Ensemble Model for Breast Cancer Detection
von: Ahad, Md Taimur, et al.
Veröffentlicht: (2024)

UPNet: Uncertainty-based Picking Deep Learning Network for Robust First Break Picking
von: Wang, Hongtao, et al.
Veröffentlicht: (2023)

XAI-Guided Analysis of Residual Networks for Interpretable Pneumonia Detection in Paediatric Chest X-rays
von: Ridwan, Rayyan
Veröffentlicht: (2025)

Deep Brain Net: An Optimized Deep Learning Model for Brain tumor Detection in MRI Images Using EfficientNetB0 and ResNet50 with Transfer Learning
von: Onah, Daniel, et al.
Veröffentlicht: (2025)

Predicting Thrombectomy Recanalization from CT Imaging Using Deep Learning Models
von: Zhang, Haoyue, et al.
Veröffentlicht: (2023)

Predicting Knee Osteoarthritis Progression from Structural MRI using Deep Learning
von: Panfilov, Egor, et al.
Veröffentlicht: (2022)

Improving Lung Cancer Diagnosis and Survival Prediction with Deep Learning and CT Imaging
von: Wang, Xiawei, et al.
Veröffentlicht: (2024)

Classification of Gleason Grading in Prostate Cancer Histopathology Images Using Deep Learning Techniques: YOLO, Vision Transformers, and Vision Mamba
von: Malekmohammadi, Amin, et al.
Veröffentlicht: (2024)

TBConvL-Net: A Hybrid Deep Learning Architecture for Robust Medical Image Segmentation
von: Iqbal, Shahzaib, et al.
Veröffentlicht: (2024)

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation
von: Panfilov, Egor, et al.
Veröffentlicht: (2019)

Deep Transfer Learning for Kidney Cancer Diagnosis
von: Habchi, Yassine, et al.
Veröffentlicht: (2024)

SAS: Segment Anything Small for Ultrasound -- A Non-Generative Data Augmentation Technique for Robust Deep Learning in Ultrasound Imaging
von: Ferreira, Danielle L., et al.
Veröffentlicht: (2025)

Normalization-equivariant Diffusion Models: Learning Posterior Samplers From Noisy And Partial Measurements
von: Levac, Brett, et al.
Veröffentlicht: (2025)

Integrating Deep Learning in Cardiology: A Comprehensive Review of Atrial Fibrillation, Left Atrial Scar Segmentation, and the Frontiers of State-of-the-Art Techniques
von: Gunawardhana, Malitha, et al.
Veröffentlicht: (2024)

Multimodal Deep Learning for Stroke Prediction and Detection using Retinal Imaging and Clinical Data
von: Shurrab, Saeed, et al.
Veröffentlicht: (2025)

Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding
von: Hagag, Amr, et al.
Veröffentlicht: (2023)

Improving U-Net Confidence on TEM Image Data with L2-Regularization, Transfer Learning, and Deep Fine-Tuning
von: Ochoa, Aiden, et al.
Veröffentlicht: (2025)

Gene-Level Representation Learning via Interventional Style Transfer in Optical Pooled Screening
von: Bigverdi, Mahtab, et al.
Veröffentlicht: (2024)

Self-supervised conformal prediction for uncertainty quantification in Poisson imaging problems
von: Amougou, Bernardin Tamo, et al.
Veröffentlicht: (2025)