Cover Image

A Deep Bayesian Convolutional Spiking Neural Network-based CAD system with Uncertainty Quantification for Medical Images Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chegini, Mohaddeseh, Mahloojifar, Ali
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Modifying the U-Net's Encoder-Decoder Architecture for Segmentation of Tumors in Breast Ultrasound Images
by: Derakhshandeh, Sina, et al.
Published: (2024)

Reliable Breast Cancer Molecular Subtype Prediction based on uncertainty-aware Bayesian Deep Learning by Mammography
by: Chegini, Mohaddeseh, et al.
Published: (2024)

BI-RADS prediction of mammographic masses using uncertainty information extracted from a Bayesian Deep Learning model
by: Chegini, Mohaddeseh, et al.
Published: (2025)

Disease Classification and Impact of Pretrained Deep Convolution Neural Networks on Diverse Medical Imaging Datasets across Imaging Modalities
by: Borah, Jutika, et al.
Published: (2024)

A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
by: Valiuddin, M. M. A., et al.
Published: (2024)

Classification of Prostate Cancer in 3D Magnetic Resonance Imaging Data based on Convolutional Neural Networks
by: Rippa, Malte, et al.
Published: (2024)

Automatic Classification of White Blood Cell Images using Convolutional Neural Network
by: Asghar, Rabia, et al.
Published: (2024)

Brain Tumor Classification in MRI Images: A Computationally Efficient Convolutional Neural Network
by: Chowdhury, Md Fahimul Kabir, et al.
Published: (2026)

Ultrasound Scatterer Density Classification Using Convolutional Neural Networks by Exploiting Patch Statistics
by: Tehrani, Ali K. Z., et al.
Published: (2020)

MSEG-VCUQ: Multimodal SEGmentation with Enhanced Vision Foundation Models, Convolutional Neural Networks, and Uncertainty Quantification for High-Speed Video Phase Detection Data
by: Maduabuchi, Chika, et al.
Published: (2024)

Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification
by: Lei, Shuge, et al.
Published: (2024)

A Self-attention Residual Convolutional Neural Network for Health Condition Classification of Cow Teat Images
by: Wang, Minghao
Published: (2024)

Hyperspectral Image Classification Based on Faster Residual Multi-branch Spiking Neural Network
by: Liu, Yang, et al.
Published: (2024)

Gradient Attention Map Based Verification of Deep Convolutional Neural Networks with Application to X-ray Image Datasets
by: Milani, Omid Halimi, et al.
Published: (2025)

Uncertainty Quantification using Variational Inference for Biomedical Image Segmentation
by: Sagar, Abhinav
Published: (2020)

Robust Image Classification in the Presence of Out-of-Distribution and Adversarial Samples Using Attractors in Neural Networks
by: Alipour, Nasrin, et al.
Published: (2024)

Research on Deep Learning Model of Feature Extraction Based on Convolutional Neural Network
by: Liu, Houze, et al.
Published: (2024)

Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation
by: Lambert, Benjamin, et al.
Published: (2022)

Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey
by: Xu, Guoping, et al.
Published: (2024)

Integrating Generative and Physics-Based Models for Ptychographic Imaging with Uncertainty Quantification
by: Ekmekci, Canberk, et al.
Published: (2024)

SNeurodCNN: Structure-focused Neurodegeneration Convolutional Neural Network for Modelling and Classification of Alzheimer's Disease
by: Odimayo, Simisola, et al.
Published: (2024)

Capsule-ConvKAN: A Hybrid Neural Approach to Medical Image Classification
by: Pituková, Laura, et al.
Published: (2025)

EG-SpikeFormer: Eye-Gaze Guided Transformer on Spiking Neural Networks for Medical Image Analysis
by: Pan, Yi, et al.
Published: (2024)

Research on Image Super-Resolution Reconstruction Mechanism based on Convolutional Neural Network
by: Yan, Hao, et al.
Published: (2024)

Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba
by: Huang, Jiahao, et al.
Published: (2024)

MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification
by: Agarwal, Saurabh, et al.
Published: (2024)

Image-Based Alzheimer's Disease Detection Using Pretrained Convolutional Neural Network Models
by: Alsadhan, Nasser A
Published: (2025)

Adaptive Convolutional Neural Network for Image Super-resolution
by: Wu, Ziang, et al.
Published: (2024)

Computer Aided Detection and Classification of mammograms using Convolutional Neural Network
by: Ishaq, Kashif, et al.
Published: (2024)

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge
by: Li, Hongwei Bran, et al.
Published: (2024)

MrRegNet: Multi-resolution Mask Guided Convolutional Neural Network for Medical Image Registration with Large Deformations
by: Li, Ruizhe, et al.
Published: (2024)

A Deep Convolutional Neural Network-Based Novel Class Balancing for Imbalance Data Segmentation
by: Kalsoom, Atifa, et al.
Published: (2025)

Simple 2D Convolutional Neural Network-based Approach for COVID-19 Detection
by: Hsu, Chih-Chung, et al.
Published: (2024)

Rethinking Transfer Learning for Medical Image Classification
by: Peng, Le, et al.
Published: (2021)

Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks
by: Helm, Kimberly, et al.
Published: (2024)

SRE-Conv: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification
by: Du, Yuexi, et al.
Published: (2025)

A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks
by: Schlosser, Tobias, et al.
Published: (2019)

Optimizing Convolutional Neural Networks for Chronic Obstructive Pulmonary Disease Detection in Clinical Computed Tomography Imaging
by: Dorosti, Tina, et al.
Published: (2023)

Signal2Image Modules in Deep Neural Networks for EEG Classification
by: Bizopoulos, Paschalis, et al.
Published: (2019)

MedMamba: Vision Mamba for Medical Image Classification
by: Yue, Yubiao, et al.
Published: (2024)