Cover Image

From Images to Insights: Transforming Brain Cancer Diagnosis with Explainable AI

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Khandaker, Md. Arafat Alam, Raha, Ziyan Shirin, Iqbal, Salehin Bin, Mridha, M. F., Shin, Jungpil
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robust CNN Multi-Nested-LSTM Framework with Compound Loss for Patch-based Multi-Push Ultrasound Shear Wave Imaging and Segmentation
by: Alam, Md. Jahin, et al.
Published: (2024)

A Spectral Library and Method for Sparse Unmixing of Hyperspectral Images in Fluorescence Guided Resection of Brain Tumors
by: Black, David, et al.
Published: (2024)

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications
by: Aftab, Muhammad, et al.
Published: (2025)

Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis
by: Hering, Alessa, et al.
Published: (2024)

AI-Enabled Lung Cancer Prognosis
by: Darvish, Mahtab, et al.
Published: (2024)

Harmonization mitigates diffusion MRI scanner effects in infancy: insights from the HEALthy Brain and Childhood Development (HBCD) study
by: McMaster, Elyssa M., et al.
Published: (2026)

The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI
by: Moawad, Ahmed W., et al.
Published: (2023)

A Deep Network for Explainable Prediction of Non-Imaging Phenotypes using Anatomical Multi-View Data
by: Wei, Yuxiang, et al.
Published: (2024)

MAPLES-DR: MESSIDOR Anatomical and Pathological Labels for Explainable Screening of Diabetic Retinopathy
by: Lepetit-Aimon, Gabriel, et al.
Published: (2024)

AI-Driven Segmentation and Analysis of Microbial Cells
by: Zhang, Shuang, et al.
Published: (2025)

Multimodal AI-driven Biomarker for Early Detection of Cancer Cachexia
by: Ahmed, Sabeen, et al.
Published: (2025)

Computational Imaging Meets LLMs: Zero-Shot IDH Mutation Prediction in Brain Gliomas
by: Mahmood, Syed Muqeem, et al.
Published: (2025)

Analysis of the MICCAI Brain Tumor Segmentation -- Metastases (BraTS-METS) 2025 Lighthouse Challenge: Brain Metastasis Segmentation on Pre- and Post-treatment MRI
by: Maleki, Nazanin, et al.
Published: (2025)

Virtual Lung Screening Trial (VLST): An In Silico Study Inspired by the National Lung Screening Trial for Lung Cancer Detection
by: Tushar, Fakrul Islam, et al.
Published: (2024)

UnPuzzle: A Unified Framework for Pathology Image Analysis
by: Liao, Dankai, et al.
Published: (2025)

Diffusion-Based Quality Control of Medical Image Segmentations across Organs
by: Marcianò, Vincenzo, et al.
Published: (2025)

A Comprehensive Approach to Diagnosing Temporomandibular Joint Diseases: AI-driven TMD Diagnostic System
by: Gua, Y., et al.
Published: (2024)

PathRWKV: Enhancing Whole Slide Image Inference with Asymmetric Recurrent Modeling
by: Zhang, Tianyi, et al.
Published: (2025)

Computer Navigated Spinal Surgery Using Magnetic Resonance Imaging and Augmented Reality
by: Lu, Songyuan, et al.
Published: (2025)

Photon Absorption Remote Sensing Virtual Histopathology: A Preliminary Exploration of Diagnostic Equivalence to Gold-Standard H&E Staining in Skin Cancer Excisional Biopsies
by: Ecclestone, Benjamin R., et al.
Published: (2025)

Papanicolaou Stain Unmixing for RGB Image Using Weighted Nucleus Sparsity and Total Variation Regularization
by: Gong, Nanxin, et al.
Published: (2025)

Reliability Assessment Framework Based on Feature Separability for Pathological Cell Image Classification under Prior Bias
by: Tachibana, Takaaki, et al.
Published: (2025)

Privacy-Preserving Collaborative Medical Image Segmentation Using Latent Transform Networks
by: Bello, Saheed Ademola, et al.
Published: (2026)

Explainable histomorphology-based survival prediction of glioblastoma, IDH-wildtype
by: Redlich, Jan-Philipp, et al.
Published: (2026)

Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review
by: Ghasemi, Amirehsan, et al.
Published: (2024)

Boosting Skull-Stripping Performance for Pediatric Brain Images
by: Kelley, William, et al.
Published: (2024)

Latent Disentanglement in Mesh Variational Autoencoders Improves the Diagnosis of Craniofacial Syndromes and Aids Surgical Planning
by: Foti, Simone, et al.
Published: (2023)

MIFA: Metadata, Incentives, Formats, and Accessibility guidelines to improve the reuse of AI datasets for bioimage analysis
by: Zulueta-Coarasa, Teresa, et al.
Published: (2023)

Graph Neural Network Reveals the Cortical Morphology of Local Brain Aging in Normal Cognition and Alzheimer's Disease
by: Anderson, Samuel D., et al.
Published: (2026)

Survival Prediction Across Diverse Cancer Types Using Neural Networks
by: Yan, Xu, et al.
Published: (2024)

In-batch Relational Features Enhance Precision in An Unsupervised Medical Anomaly Detection Task
by: Githinji, P. Bilha, et al.
Published: (2026)

Harmonization Benchmarking Tool for Neuroimaging Datasets
by: Osika, Tom, et al.
Published: (2022)

Robust Segmentation of CPR-Induced Capnogram Using U-net: Overcoming Challenges with Deep Learning
by: Elola, Andoni, et al.
Published: (2024)

Progress and new challenges in image-based profiling
by: Serrano, Erik, et al.
Published: (2025)

Robust Glioblastoma Segmentation and Volumetry Without T2-FLAIR: External Validation of Targeted Dropout Training
by: Öchsner, Marco, et al.
Published: (2026)

Morphological Reconstruction of Detached Dendritic Spines via Geodesic Path Prediction
by: Jain, Sammit, et al.
Published: (2020)

Numerical Uncertainty in Linear Registration: An Experimental Study
by: Mirhakimi, Niusha, et al.
Published: (2025)

Gut decisions based on the liver: A radiomics approach to boost colorectal cancer screening
by: Hinterberger, Anna, et al.
Published: (2025)

Impact of Stain Variation and Color Normalization for Prognostic Predictions in Pathology
by: Siyu, et al.
Published: (2024)

On the Utility of Virtual Staining for Downstream Applications as it relates to Task Network Capacity
by: Sengupta, Sourya, et al.
Published: (2025)