Morpho-Genomic Deep Learning for Ovarian Cancer Subtype and Gene Mutation Prediction from Histopathology
Fuente:
arXiv
Saved in:
| Main Author: | Fernandes, Gabriela |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning
by: Fuster, Saul, et al.
Published: (2024)
by: Fuster, Saul, et al.
Published: (2024)
RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency
by: Huang, Wentao, et al.
Published: (2024)
by: Huang, Wentao, et al.
Published: (2024)
Predicting Neoadjuvant Chemotherapy Response in Triple-Negative Breast Cancer Using Pre-Treatment Histopathologic Images
by: Khan, Hikmat, et al.
Published: (2025)
by: Khan, Hikmat, et al.
Published: (2025)
Histopathological Image Classification with Cell Morphology Aware Deep Neural Networks
by: Ignatov, Andrey, et al.
Published: (2024)
by: Ignatov, Andrey, et al.
Published: (2024)
Clinically Relevant Latent Space Embedding of Cancer Histopathology Slides through Variational Autoencoder Based Image Compression
by: Nasr, Mohammad Sadegh, et al.
Published: (2023)
by: Nasr, Mohammad Sadegh, et al.
Published: (2023)
Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning
by: Redekop, Ekaterina, et al.
Published: (2024)
by: Redekop, Ekaterina, et al.
Published: (2024)
MyData: A Comprehensive Database of Mycetoma Tissue Microscopic Images for Histopathological Analysis
by: Ali, Hyam Omar, et al.
Published: (2024)
by: Ali, Hyam Omar, et al.
Published: (2024)
Automated Histopathologic Assessment of Hirschsprung Disease Using a Multi-Stage Vision Transformer Framework
by: Megahed, Youssef, et al.
Published: (2025)
by: Megahed, Youssef, et al.
Published: (2025)
A Progressive Risk Formulation for Enhanced Deep Learning based Total Knee Replacement Prediction in Knee Osteoarthritis
by: Rajamohan, Haresh Rengaraj, et al.
Published: (2024)
by: Rajamohan, Haresh Rengaraj, et al.
Published: (2024)
Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUROC Loss Function for Convolutional Neural Networks
by: Namdar, Khashayar, et al.
Published: (2024)
by: Namdar, Khashayar, et al.
Published: (2024)
TABSurfer: a Hybrid Deep Learning Architecture for Subcortical Segmentation
by: Cao, Aaron, et al.
Published: (2023)
by: Cao, Aaron, et al.
Published: (2023)
Latent Representation Learning from 3D Brain MRI for Interpretable Prediction in Multiple Sclerosis
by: Huynh, Trinh Ngoc, et al.
Published: (2025)
by: Huynh, Trinh Ngoc, et al.
Published: (2025)
Breast Lump Detection and Localization with a Tactile Glove Using Deep Learning
by: Syrymova, Togzhan, et al.
Published: (2025)
by: Syrymova, Togzhan, et al.
Published: (2025)
Deep Learning-based MRI Reconstruction with Artificial Fourier Transform Network (AFTNet)
by: Yang, Yanting, et al.
Published: (2023)
by: Yang, Yanting, et al.
Published: (2023)
Comparative Analysis of Hand-Crafted and Machine-Driven Histopathological Features for Prostate Cancer Classification and Segmentation
by: Baqain, Feda Bolus Al, et al.
Published: (2025)
by: Baqain, Feda Bolus Al, et al.
Published: (2025)
Multimodal Alignment of Histopathological Images Using Cell Segmentation and Point Set Matching for Integrative Cancer Analysis
by: Jiang, Jun, et al.
Published: (2024)
by: Jiang, Jun, et al.
Published: (2024)
MIDOG 2025 Track 2: A Deep Learning Model for Classification of Atypical and Normal Mitotic Figures under Class and Hardness Imbalances
by: Kotte, Sujatha, et al.
Published: (2025)
by: Kotte, Sujatha, et al.
Published: (2025)
From Images to Insights: Transforming Brain Cancer Diagnosis with Explainable AI
by: Khandaker, Md. Arafat Alam, et al.
Published: (2025)
by: Khandaker, Md. Arafat Alam, et al.
Published: (2025)
Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis
by: Hering, Alessa, et al.
Published: (2024)
by: Hering, Alessa, et al.
Published: (2024)
Predicting brain tumour enhancement from non-contrast MR imaging with artificial intelligence
by: Ruffle, James K, et al.
Published: (2025)
by: Ruffle, James K, et al.
Published: (2025)
Screen Them All: High-Throughput Pan-Cancer Genetic and Phenotypic Biomarker Screening from H&E Whole Slide Images
by: Wang, Yi Kan, et al.
Published: (2024)
by: Wang, Yi Kan, et al.
Published: (2024)
A Multicentric Dataset for Training and Benchmarking Breast Cancer Segmentation in H&E Slides
by: Lems, Carlijn, et al.
Published: (2025)
by: Lems, Carlijn, et al.
Published: (2025)
Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation
by: Jiang, Hao, et al.
Published: (2025)
by: Jiang, Hao, et al.
Published: (2025)
HistoAtlas: A Pan-Cancer Morphology Atlas Linking Histomics to Molecular Programs and Clinical Outcomes
by: Bannier, Pierre-Antoine
Published: (2026)
by: Bannier, Pierre-Antoine
Published: (2026)
2D and 3D Deep Learning Models for MRI-based Parkinson's Disease Classification: A Comparative Analysis of Convolutional Kolmogorov-Arnold Networks, Convolutional Neural Networks, and Graph Convolutional Networks
by: Patel, Salil B, et al.
Published: (2024)
by: Patel, Salil B, et al.
Published: (2024)
GLOMIA-Pro: A Generalizable Longitudinal Medical Image Analysis Framework for Disease Progression Prediction
by: Zhang, Shuaitong, et al.
Published: (2025)
by: Zhang, Shuaitong, et al.
Published: (2025)
Multi-Omics Fusion with Soft Labeling for Enhanced Prediction of Distant Metastasis in Nasopharyngeal Carcinoma Patients after Radiotherapy
by: Sheng, Jiabao, et al.
Published: (2025)
by: Sheng, Jiabao, et al.
Published: (2025)
Grad-CAMO: Learning Interpretable Single-Cell Morphological Profiles from 3D Cell Painting Images
by: Gopalakrishnan, Vivek, et al.
Published: (2024)
by: Gopalakrishnan, Vivek, et al.
Published: (2024)
DLiPath: A Benchmark for the Comprehensive Assessment of Donor Liver Based on Histopathological Image Dataset
by: Pan, Liangrui, et al.
Published: (2025)
by: Pan, Liangrui, et al.
Published: (2025)
Association of Progressive PPFE and Mortality in Lung Cancer Screening Cohorts
by: Aslani, Shahab, et al.
Published: (2026)
by: Aslani, Shahab, et al.
Published: (2026)
Assessing Generalization Capabilities of Malaria Diagnostic Models from Thin Blood Smears
by: Guillon, Louise, et al.
Published: (2024)
by: Guillon, Louise, et al.
Published: (2024)
OpenCap Monocular: 3D Human Kinematics and Musculoskeletal Dynamics from a Single Smartphone Video
by: Gilon, Selim, et al.
Published: (2026)
by: Gilon, Selim, et al.
Published: (2026)
A vision transformer-based framework for knowledge transfer from multi-modal to mono-modal lymphoma subtyping models
by: Guetarni, Bilel, et al.
Published: (2023)
by: Guetarni, Bilel, et al.
Published: (2023)
IVIM-Morph: Motion-compensated quantitative Intra-voxel Incoherent Motion (IVIM) analysis for functional fetal lung maturity assessment from diffusion-weighted MRI data
by: Kertes, Noga, et al.
Published: (2024)
by: Kertes, Noga, et al.
Published: (2024)
Standardized Evaluation of Automatic Methods for Perivascular Spaces Segmentation in MRI -- MICCAI 2024 Challenge Results
by: Wu, Yilei, et al.
Published: (2025)
by: Wu, Yilei, et al.
Published: (2025)
Leveraging Pathology Foundation Models for Panoptic Segmentation of Melanoma in H&E Images
by: Lv, Jiaqi, et al.
Published: (2025)
by: Lv, Jiaqi, et al.
Published: (2025)
Self-supervised large-scale kidney abnormality detection in drug safety assessment studies
by: Slootweg, Ivan, et al.
Published: (2025)
by: Slootweg, Ivan, et al.
Published: (2025)
PixCell: A generative foundation model for digital histopathology images
by: Yellapragada, Srikar, et al.
Published: (2025)
by: Yellapragada, Srikar, et al.
Published: (2025)
Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens
by: East, Alyson, et al.
Published: (2025)
by: East, Alyson, et al.
Published: (2025)
Segmenting Thalamic Nuclei: T1 Maps Provide a Reliable and Efficient Solution
by: Feng, Anqi, et al.
Published: (2025)
by: Feng, Anqi, et al.
Published: (2025)
Similar Items
-
NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning
by: Fuster, Saul, et al.
Published: (2024) -
RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency
by: Huang, Wentao, et al.
Published: (2024) -
Predicting Neoadjuvant Chemotherapy Response in Triple-Negative Breast Cancer Using Pre-Treatment Histopathologic Images
by: Khan, Hikmat, et al.
Published: (2025) -
Histopathological Image Classification with Cell Morphology Aware Deep Neural Networks
by: Ignatov, Andrey, et al.
Published: (2024) -
Clinically Relevant Latent Space Embedding of Cancer Histopathology Slides through Variational Autoencoder Based Image Compression
by: Nasr, Mohammad Sadegh, et al.
Published: (2023)