Cover Image

Advanced Hybrid Deep Learning Model for Enhanced Classification of Osteosarcoma Histopathology Images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Borji, Arezoo, Kronreif, Gernot, Angermayr, Bernhard, Hatamikia, Sepideh
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Review on the Integration of Artificial Intelligence and Medical Imaging in IVF Ovarian Stimulation
by: Zakall, Jana, et al.
Published: (2024)

Improving Generalization Capability of Deep Learning-Based Nuclei Instance Segmentation by Non-deterministic Train Time and Deterministic Test Time Stain Normalization
by: Mahbod, Amirreza, et al.
Published: (2023)

A deep learning pipeline for PAM50 subtype classification using histopathology images and multi-objective patch selection
by: Borji, Arezoo, et al.
Published: (2026)

Introducing an ensemble method for the early detection of Alzheimer's disease through the analysis of PET scan images
by: Borji, Arezoo, et al.
Published: (2024)

Efficient Classification of Histopathology Images
by: Nouyed, Mohammad Iqbal, et al.
Published: (2024)

Classification of Brain Tumors using Hybrid Deep Learning Models
by: Gala, Neerav Nemchand
Published: (2025)

MSRANetV2: An Explainable Deep Learning Architecture for Multi-class Classification of Colorectal Histopathological Images
by: Sarkar, Ovi, et al.
Published: (2025)

Advancing Histopathology with Deep Learning Under Data Scarcity: A Decade in Review
by: Obeid, Ahmad, et al.
Published: (2024)

Unified Framework for Histopathology Image Augmentation and Classification via Generative Models
by: Li, Meng, et al.
Published: (2022)

Contrastive Deep Learning Reveals Age Biomarkers in Histopathological Skin Biopsies
by: Chakradeo, Kaustubh, et al.
Published: (2024)

Advanced Deep Learning Techniques for Accurate Lung Cancer Detection and Classification
by: Abumohsen, Mobarak, et al.
Published: (2025)

A Comprehensive Evaluation of Histopathology Foundation Models for Ovarian Cancer Subtype Classification
by: Breen, Jack, et al.
Published: (2024)

DSVTLA: Deep Swin Vision Transformer-Based Transfer Learning Architecture for Multi-Type Cancer Histopathological Cancer Image Classification
by: Khan, Muazzem Hussain, et al.
Published: (2026)

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

Classification of Breast Tumours Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods
by: Abbasniya, Mohammad Reza, et al.
Published: (2022)

A Hybrid Deep Learning CNN Model for Enhanced COVID-19 Detection from Computed Tomography (CT) Scan Images
by: Nettur, Suresh Babu, et al.
Published: (2025)

Recent Advances in Medical Image Classification
by: Dao, Loan, et al.
Published: (2025)

URCDM: Ultra-Resolution Image Synthesis in Histopathology
by: Cechnicka, Sarah, et al.
Published: (2024)

A Comparative Analysis of Image Descriptors for Histopathological Classification of Gastric Cancer
by: Usai, Marco, et al.
Published: (2025)

Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification
by: Shi, Zhan, et al.
Published: (2024)

Histopathological Image Classification with Cell Morphology Aware Deep Neural Networks
by: Ignatov, Andrey, et al.
Published: (2024)

Zero-Shot Whole Slide Image Retrieval in Histopathology Using Embeddings of Foundation Models
by: Alfasly, Saghir, et al.
Published: (2024)

Enhancing Diabetic Retinopathy Classification Accuracy through Dual Attention Mechanism in Deep Learning
by: Hannan, Abdul, et al.
Published: (2025)

Classification of Histopathology Slides with Persistent Homology Convolutions
by: Pothagoni, Shrunal, et al.
Published: (2025)

SAGE: Shape-Adapting Gated Experts for Adaptive Histopathology Image Segmentation
by: Thai, Gia Huy, et al.
Published: (2025)

PathoWAve: A Deep Learning-based Weight Averaging Method for Improving Domain Generalization in Histopathology Images
by: Sharifi, Parastoo Sotoudeh, et al.
Published: (2024)

Transforming Blood Cell Detection and Classification with Advanced Deep Learning Models: A Comparative Study
by: Choudhary, Shilpa, et al.
Published: (2024)

Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution
by: Fischer, Maximilian, et al.
Published: (2024)

Enhancing Brain Tumor Classification Using TrAdaBoost and Multi-Classifier Deep Learning Approaches
by: Mohammadi, Mahin, et al.
Published: (2024)

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

Segmentation of Muscularis Propria in Colon Histopathology Images Using Vision Transformers for Hirschsprung's Disease
by: Megahed, Youssef, et al.
Published: (2024)

NuSeC: A Dataset for Nuclei Segmentation in Breast Cancer Histopathology Images
by: Samet, Refik, et al.
Published: (2025)

NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning
by: Fuster, Saul, et al.
Published: (2024)

Leveraging Pre-trained Models for FF-to-FFPE Histopathological Image Translation
by: Zhang, Qilai, et al.
Published: (2024)

Chaos-Enhanced Prototypical Networks for Few-Shot Medical Image Classification
by: Sai, Chinthakuntla Meghan, et al.
Published: (2026)

Attention-Enhanced Deep Learning Ensemble for Breast Density Classification in Mammography
by: Sharifian, Peyman, et al.
Published: (2025)

Multi-Center Study on Deep Learning-Assisted Detection and Classification of Fetal Central Nervous System Anomalies Using Ultrasound Imaging
by: Qi, Yang, et al.
Published: (2025)

Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis
by: Xu, Yesheng, et al.
Published: (2020)

Biologically Inspired Deep Learning Approaches for Fetal Ultrasound Image Classification
by: Prochii, Rinat, et al.
Published: (2025)

ConvNeXt with Histopathology-Specific Augmentations for Mitotic Figure Classification
by: Feki, Hana, et al.
Published: (2025)