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Smoking & Tobacco

Latest AI and machine learning research in smoking & tobacco for healthcare professionals.

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GVTNet: Graph Vision Transformer For Face Super-Resolution

Recent advances in face super-resolution research have utilized the Transformer architecture. This...

When Segmentation Meets Hyperspectral Image: New Paradigm for Hyperspectral Image Classification

Hyperspectral image (HSI) classification is a cornerstone of remote sensing, enabling precise mate...

GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs

Accurately restoring topology is both challenging and crucial in tubular structure extraction task...

Towards Precision Oncology: Predicting Mortality and Relapse-Free Survival in Head and Neck Cancer Using Clinical Data

Head and neck squamous cell carcinoma (HNSCC) presents significant challenges in clinical oncology...

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification

Multiple instance learning (MIL)-based framework has become the mainstream for processing the whol...

KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level

Chronic kidney disease (CKD) is a major global health issue, affecting over 10% of the population ...

Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More

Since the introduction of Vision Transformer (ViT), patchification has long been regarded as a de ...

Rethinking the Global Knowledge of CLIP in Training-Free Open-Vocabulary Semantic Segmentation

Recent works modify CLIP to perform open-vocabulary semantic segmentation in a training-free manne...

Prostate-Specific Foundation Models for Enhanced Detection of Clinically Significant Cancer

Accurate prostate cancer diagnosis remains challenging. Even when using MRI, radiologists exhibit ...

Patch Triplet Similarity Purification for Guided Real-World Low-Dose CT Image Denoising

Image denoising of low-dose computed tomography (LDCT) is an important problem for clinical diagno...

The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers

Whole Slide Imaging (WSI), which involves high-resolution digital scans of pathology slides, has b...

Context Matters: Query-aware Dynamic Long Sequence Modeling of Gigapixel Images

Whole slide image (WSI) analysis presents significant computational challenges due to the massive ...

An Adversarial Approach to Register Extreme Resolution Tissue Cleared 3D Brain Images

We developed a generative patch based 3D image registration model that can register very high reso...

Unsupervised Patch-GAN with Targeted Patch Ranking for Fine-Grained Novelty Detection in Medical Imaging

Detecting novel anomalies in medical imaging is challenging due to the limited availability of lab...

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology

A crucial step to efficiently integrate Whole Slide Images (WSIs) in computational pathology is as...

Not Every Patch is Needed: Towards a More Efficient and Effective Backbone for Video-based Person Re-identification

This paper proposes a new effective and efficient plug-and-play backbone for video-based person re...

Dynamic Hypergraph Representation for Bone Metastasis Cancer Analysis

Bone metastasis analysis is a significant challenge in pathology and plays a critical role in dete...

Efficient Self-Supervised Grading of Prostate Cancer Pathology

Prostate cancer grading using the ISUP system (International Society of Urological Pathology) for ...

CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation

Remote sensing image segmentation is pivotal for earth observation, underpinning applications such...

Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images

Plug-and-play approaches to solving inverse problems such as restoration and super-resolution have...

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