Image de couverture de livre

Decoding the visual attention of pathologists to reveal their level of expertise

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chakraborty, Souradeep, Perez, Dana, Friedman, Paul, Sheuka, Natallia, Friedman, Constantin, Yaskiv, Oksana, Gupta, Rajarsi, Zelinsky, Gregory J., Saltz, Joel H., Samaras, Dimitris
Format:	Preprint
Publié:	2024
Sujets:	Image and Video Processing Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Measuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer
par: Chakraborty, Souradeep, et autres
Publié: (2025)

PixCell: A generative foundation model for digital histopathology images
par: Yellapragada, Srikar, et autres
Publié: (2025)

Pathology Image Compression with Pre-trained Autoencoders
par: Yellapragada, Srikar, et autres
Publié: (2025)

Modeling Deep Learning Based Privacy Attacks on Physical Mail
par: Huang, Bingyao, et autres
Publié: (2020)

TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model
par: Xu, Meilong, et autres
Publié: (2024)

An event-based implementation of saliency-based visual attention for rapid scene analysis
par: Chane, Camille Simon, et autres
Publié: (2024)

Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images
par: Hasan, Mahmudul, et autres
Publié: (2024)

Boosting multiple sclerosis lesion segmentation through attention mechanism
par: Rondinella, Alessia, et autres
Publié: (2023)

Reusable specimen-level inference in computational pathology
par: Kaczmarzyk, Jakub R., et autres
Publié: (2025)

DriftDecode: One-Step Wireless Image Decoding via Drifting-Inspired Detail Recovery
par: Fu, Jingwen, et autres
Publié: (2026)

Triage of 3D pathology data via 2.5D multiple-instance learning to guide pathologist assessments
par: Gao, Gan, et autres
Publié: (2024)

Quantized Decoder in Learned Image Compression for Deterministic Reconstruction
par: Koyuncu, Esin, et autres
Publié: (2023)

LUMEN: Low-light Unified Multi-stage Enhancement Network using depth-guided flash, clustering, and attention-based Transformers
par: Debnath, Bibhabasu, et autres
Publié: (2026)

Deep learning approach for flow visualization in background-oriented schlieren
par: Ram, Viren S., et autres
Publié: (2025)

Transformer-based Learned Image Compression for Joint Decoding and Denoising
par: Chen, Yi-Hsin, et autres
Publié: (2024)

Optimized Decoding-Energy-Aware Encoding in Practical VVC Implementations
par: Kränzler, Matthias, et autres
Publié: (2022)

Energy Demand Prediction for Hardware Video Decoders Using Software Profiling
par: Kränzler, Matthias, et autres
Publié: (2024)

A Comprehensive Review of Software and Hardware Energy Efficiency of Video Decoders
par: Kränzler, Matthias, et autres
Publié: (2024)

A CT Image Denoising Method with Residual Encoder-Decoder Network
par: Shawn, Helena, et autres
Publié: (2024)

Memory-efficient optimization of implicit neural representations for CT reconstruction
par: Najaf, Mahrokh, et autres
Publié: (2026)

Synthetic multi-inversion time magnetic resonance images for visualization of subcortical structures
par: Hays, Savannah P., et autres
Publié: (2025)

Bayesian reconstruction of sparse raster-scanned mid-infrared optoacoustic signals enables fast, label-free chemical microscopy
par: Berger, Constantin, et autres
Publié: (2024)

Self-supervised co-salient object detection via feature correspondence at multiple scales
par: Chakraborty, Souradeep, et autres
Publié: (2024)

Design Space Exploration at Frame-Level for Joint Decoding Energy and Quality Optimization in VVC
par: Stürzenhofäcker, Teresa, et autres
Publié: (2024)

OrthoSeisnet: Seismic Inversion through Orthogonal Multi-scale Frequency Domain U-Net for Geophysical Exploration
par: Chakraborty, Supriyo, et autres
Publié: (2024)

Low-Light Image Enhancement Using Gamma Learning And Attention-Enabled Encoder-Decoder Networks
par: Debnath, Bibhabasu, et autres
Publié: (2025)

A 28nm 0.22μJ/token memory-compute-intensity-aware CNN-Transformer accelerator with hybrid-attention-based layer-fusion and cascaded pruning for semantic-segmentation
par: Dong, Pingcheng, et autres
Publié: (2025)

$\infty$-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions
par: Le, Minh-Quan, et autres
Publié: (2024)

TransLK-Net: Entangling Transformer and Large Kernel for Progressive and Collaborative Feature Encoding and Decoding in Medical Image Segmentation
par: Yang, Jin, et autres
Publié: (2025)

Need for Speed: A Comprehensive Benchmark of JPEG Decoders in Python
par: Iglovikov, Vladimir
Publié: (2025)

A Retina-Inspired Pathway to Real-Time Motion Prediction inside Image Sensors for Extreme-Edge Intelligence
par: Chakraborty, Subhradip, et autres
Publié: (2025)

Onboard deep lossless and near-lossless predictive coding of hyperspectral images with line-based attention
par: Valsesia, Diego, et autres
Publié: (2024)

Decoding Complexity-Rate-Quality Pareto-Front for Adaptive VVC Streaming
par: Katsenou, Angeliki, et autres
Publié: (2024)

Multi-Modal Brain Tumor Segmentation via 3D Multi-Scale Self-attention and Cross-attention
par: Huang, Yonghao, et autres
Publié: (2025)

Ptychographic non-line-of-sight imaging for depth-resolved visualization of hidden objects
par: Song, Pengming, et autres
Publié: (2024)

SaViD: Spectravista Aesthetic Vision Integration for Robust and Discerning 3D Object Detection in Challenging Environments
par: Dam, Tanmoy, et autres
Publié: (2025)

Hadamard-Based Recursive Aperture Decoded Ultrasound Imaging (READI) With Estimated Motion-Compensated Compounding (EMC2) Using Top-Orthogonal to Bottom Electrode (TOBE) Arrays
par: Henry, Tyler Keith, et autres
Publié: (2025)

3D Object Reconstruction with mmWave Radars
par: Hussein, Samah, et autres
Publié: (2025)

Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning
par: Fischer, Maximilian, et autres
Publié: (2025)

Reconstructing Richtmyer-Meshkov instabilities from noisy radiographs using low dimensional features and attention-based neural networks
par: Serino, Daniel A., et autres
Publié: (2024)