Smoking & Tobacco

Hybrid deep learning-based strategy for the hepatocellular carcinoma cancer grade classification of H&E stained liver histopathology images

Hepatocellular carcinoma (HCC) is a common type of liver cancer whose early-stage diagnosis is a c...

Partially Conditioned Patch Parallelism for Accelerated Diffusion Model Inference

Diffusion models have exhibited exciting capabilities in generating images and are also very promi...

Grayscale to Hyperspectral at Any Resolution Using a Phase-Only Lens

We consider the problem of reconstructing a HxWx31 hyperspectral image from a HxW grayscale snapsh...

AccDiffusion v2: Towards More Accurate Higher-Resolution Diffusion Extrapolation

Diffusion models suffer severe object repetition and local distortion when the inference resolutio...

A Low-Resolution Image is Worth 1x1 Words: Enabling Fine Image Super-Resolution with Transformers and TaylorShift

Transformer-based Super-Resolution (SR) models have recently advanced image reconstruction quality...

Leveraging Transfer Learning and Multiple Instance Learning for HER2 Automatic Scoring of H\&E Whole Slide Images

Expression of human epidermal growth factor receptor 2 (HER2) is an important biomarker in breast ...

ViTGuard: Attention-aware Detection against Adversarial Examples for Vision Transformer

The use of transformers for vision tasks has challenged the traditional dominant role of convoluti...

Allium Vegetables Intake and Digestive System Cancer Risk: A Study Based on Mendelian Randomization, Network Pharmacology and Molecular Docking

Background: Allium vegetables (garlic and onion) are one of the flavorings in people's daily diets...

Designing a Social Snus Cessation Mobile Application with an Integrated AI Function.

The application of artificial intelligence (AI) in healthcare is expected to be increased in the com...

Bioimpedance a Diagnostic Tool for Tobacco Induced Oral Lesions: a Mixed Model cross-sectional study

Introduction: Electrical impedance spectroscopy (EIS) has recently developed as a novel diagnostic...

Unified Smooth Vector Graphics: Modeling Gradient Meshes and Curve-based Approaches Jointly as Poisson Problem

Research on smooth vector graphics is separated into two independent research threads: one on inte...

Robust CNN Multi-Nested-LSTM Framework with Compound Loss for Patch-based Multi-Push Ultrasound Shear Wave Imaging and Segmentation

Ultrasound Shear Wave Elastography (SWE) is a noteworthy tool for in-vivo noninvasive tissue patho...

CBM: Curriculum by Masking

We propose Curriculum by Masking (CBM), a novel state-of-the-art curriculum learning strategy that...

Fast Diffeomorphic Image Registration using Patch based Fully Convolutional Networks.

Diffeomorphic image registration is a fundamental step in medical image analysis, owing to its capab...

C2P-GCN: Cell-to-Patch Graph Convolutional Network for Colorectal Cancer Grading.

Graph-based learning approaches, due to their ability to encode tissue/organ structure information, ...

Predicting Cardiovascular Disease Risk in Tobacco Users Using Machine Learning Algorithms.

Cardiovascular Diseases (CVDs) present a substantial global health burden, with tobacco use as a maj...

Artificial Intelligence Simulation of Adolescents' Responses to Vaping-Prevention Messages.

Identification and Characterization of Synthetic Nicotine Product Promotion and Sales on Instagram Using Natural Language Processing.

INTRODUCTION: There has been a rapid proliferation of synthetic nicotine products in recent years, d...

Characterizing Anti-Vaping Posts for Effective Communication on Instagram Using Multimodal Deep Learning.

INTRODUCTION: Instagram is a popular social networking platform for sharing photos with a large prop...

A Multi-Task Learning Approach for Segmentation of Breast Arterial Calcifications in Screening Mammograms.

Screening mammogram is a standard and cost-efficient imaging procedure to measure breast cancer risk...

Multi-omics Combined with Machine Learning Facilitating the Diagnosis of Gastric Cancer.

Gastric cancer (GC) is a highly intricate gastrointestinal malignancy. Early detection of gastric ca...