Copertina

Enhance Eye Disease Detection using Learnable Probabilistic Discrete Latents in Machine Learning Architectures

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Prabhakaran, Anirudh, Xiao, YeKun, Cheng, Ching-Yu, Liu, Dianbo
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

BitSemCom: A Bit-Level Semantic Communication Framework with Learnable Probabilistic Mapping
di: Zhang, Haoshuo, et al.
Pubblicazione: (2025)

A Deep Learning Architectures for Kidney Disease Classification
di: Farooq, Muhammad Shoaib, et al.
Pubblicazione: (2024)

Semantic-Enhanced Feature Matching with Learnable Geometric Verification for Cross-Modal Neuron Registration
di: Li, Wenwei, et al.
Pubblicazione: (2025)

Learnable Retrieval Enhanced Visual-Text Alignment and Fusion for Radiology Report Generation
di: Zhou, Qin, et al.
Pubblicazione: (2025)

Machine Learning Interventions for Weed Detection using Multispectral Imagery and Unmanned Aerial Vehicles -- A Systematic Review
di: Goel, Drishti, et al.
Pubblicazione: (2024)

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection
di: Wang, Yuli, et al.
Pubblicazione: (2025)

Channel-Adaptive Wireless Image Semantic Transmission with Learnable Prompts
di: Zhang, Liang, et al.
Pubblicazione: (2024)

FixPix: Fixing Bad Pixels using Deep Learning
di: Sarkar, Sreetama, et al.
Pubblicazione: (2023)

Developing a Dual-Stage Vision Transformer Model for Lung Disease Classification
di: Mazumder, Anirudh, et al.
Pubblicazione: (2024)

Integrated Snapshot Near-infrared Hypersepctral Imaging Framework with Diffractive Optics
di: Ma, Jingyue, et al.
Pubblicazione: (2025)

Diffusion Probabilistic Models for Compressive SAR Imaging
di: Pappas, Odysseas, et al.
Pubblicazione: (2025)

Deep Unsupervised Learning for 3D ALS Point Cloud Change Detection
di: de Gélis, Iris, et al.
Pubblicazione: (2023)

Towards Enhanced Analysis of Lung Cancer Lesions in EBUS-TBNA -- A Semi-Supervised Video Object Detection Method
di: Lin, Jyun-An, et al.
Pubblicazione: (2024)

Privacy-Preserving Semantic Communication over Wiretap Channels with Learnable Differential Privacy
di: Chen, Weixuan, et al.
Pubblicazione: (2025)

Learnable Multi-level Discrete Wavelet Transforms for 3D Gaussian Splatting Frequency Modulation
di: Nguyen, Hung, et al.
Pubblicazione: (2026)

OceanLens: An Adaptive Backscatter and Edge Correction using Deep Learning Model for Enhanced Underwater Imaging
di: Makam, Rajini, et al.
Pubblicazione: (2024)

Real-time Detection and Auto focusing of Beam Profiles from Silicon Photonics Gratings using YOLO model
di: Lim, Yu Dian, et al.
Pubblicazione: (2024)

EMulator: Rapid Estimation of Complex-valued Electric Fields using a U-Net Architecture
di: Ahsan, Fatima, et al.
Pubblicazione: (2025)

Improving Deep Learning for Accelerated MRI With Data Filtering
di: Lin, Kang, et al.
Pubblicazione: (2025)

Comparative Analysis of 2D and 3D ResNet Architectures for IDH and MGMT Mutation Detection in Glioma Patients
di: Elyassirad, Danial, et al.
Pubblicazione: (2024)

Flexible single multimode fiber imaging using white LED
di: Fan, Minyu, et al.
Pubblicazione: (2023)

CGCCE-Net:Change-Guided Cross Correlation Enhancement Network for Remote Sensing Building Change Detection
di: Wang, ChengMing
Pubblicazione: (2025)

Automated Crater Detection from Co-registered Optical Images, Elevation Maps and Slope Maps using Deep Learning
di: Tewari, Atal, et al.
Pubblicazione: (2020)

Learning Multi-Rate Task-Oriented Communications Over Symmetric Discrete Memoryless Channels
di: Zhang, Anbang, et al.
Pubblicazione: (2024)

Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning
di: Fischer, Maximilian, et al.
Pubblicazione: (2025)

Enhanced SCanNet with CBAM and Dice Loss for Semantic Change Detection
di: Ratnayake, Athulya, et al.
Pubblicazione: (2025)

Radiogenomic Bipartite Graph Representation Learning for Alzheimer's Disease Detection
di: Raj, Aditya, et al.
Pubblicazione: (2025)

Versatile Volumetric Medical Image Coding for Human-Machine Vision
di: Chen, Jietao, et al.
Pubblicazione: (2024)

Learnable Optimization-Based Algorithms for Low-Dose CT Reconstruction
di: Chen, Daisy
Pubblicazione: (2024)

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture
di: Cheng, Cheng, et al.
Pubblicazione: (2025)

CASC: Condition-Aware Semantic Communication with Latent Diffusion Models
di: Chen, Weixuan, et al.
Pubblicazione: (2024)

GUSL: A Novel and Efficient Machine Learning Model for Prostate Segmentation on MRI
di: Yang, Jiaxin, et al.
Pubblicazione: (2025)

UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation
di: Tsai, Ting Yu, et al.
Pubblicazione: (2024)

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

Integrated diffractive full-Stokes spectro-polarimetric imaging
di: Ma, Jingyue, et al.
Pubblicazione: (2025)

A New Multi-Picture Architecture for Learned Video Deinterlacing and Demosaicing with Parallel Deformable Convolution and Self-Attention Blocks
di: Ji, Ronglei, et al.
Pubblicazione: (2024)

Bridging Machine Learning and Clinical Diagnosis: An Explainable Biomarker for ß-Amyloid PET Imaging
di: Barbero, Janos, et al.
Pubblicazione: (2023)

Lung Disease Detection with Vision Transformers: A Comparative Study of Machine Learning Methods
di: Dayan, Baljinnyam
Pubblicazione: (2024)

GreenSaliency: A Lightweight and Efficient Image Saliency Detection Method
di: Mei, Zhanxuan, et al.
Pubblicazione: (2024)

Head Motion Degrades Machine Learning Classification of Alzheimer's Disease from Positron Emission Tomography
di: Lieffrig, Eléonore V., et al.
Pubblicazione: (2025)