Cover Image

An Explainable Attention Model for Cervical Precancer Risk Classification using Colposcopic Images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Khare, Smith K., Booth, Berit Bargum, Blanes-Vidal, Victoria, Petersen, Lone Kjeld, Nadimi, Esmaeil S.
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A systematic review and research recommendations on artificial intelligence for automated cervical cancer detection
by: Smith K. Khare, et al.
Published: (2024)

Towards Full Integration of Artificial Intelligence in Colon Capsule Endoscopy's Pathway
by: Nadimi, Esmaeil S., et al.
Published: (2024)

Phase tomography with axial structured illumination
by: Goyal, N, et al.
Published: (2025)

Assessing the clinical value of cervical biopsies in individuals with transformation zone type 3 at colposcopy: A cross‐sectional study
by: Vibe Munk Bertelsen, et al.
Published: (2026)

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer
by: Shaik, Abdul Samad, et al.
Published: (2025)

Automated Dynamic Image Analysis for Particle Size and Shape Classification in Three Dimensions
by: Nadimi, Sadegh, et al.
Published: (2024)

GADA: Graph Attention-based Detection Aggregation for Ultrasound Video Classification
by: Chen, Li, et al.
Published: (2025)

Fully Automated Assessment of Cardiac Coverage in Cine Cardiovascular Magnetic Resonance Images using an Explainable Deep Visual Salient Region Detection Model
by: Nabavi, Shahabedin, et al.
Published: (2022)

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

Dual-Stream Attention Network for Hyperspectral Image Unmixing
by: Wang, Yufang, et al.
Published: (2024)

Enhanced Tuberculosis Bacilli Detection using Attention-Residual U-Net and Ensemble Classification
by: K, Greeshma, et al.
Published: (2025)

Robust phase retrieval with complexity-guidance for coherent X-ray imaging
by: Butola, Mansi, et al.
Published: (2022)

ExplainS2A: Explainable Spectral-Spatial Duality Model for Fast Transforming Sentinel-2 Image to AVIRIS-Level Hyperspectral Image
by: Lin, Chia-Hsiang, et al.
Published: (2026)

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection
by: Wang, Ziyi, et al.
Published: (2024)

Approximate Bilevel Graph Structure Learning for Histopathology Image Classification
by: Paul, Sudipta, et al.
Published: (2025)

Explainable Knowledge Distillation for Efficient Medical Image Classification
by: Mir, Aqib Nazir, et al.
Published: (2025)

ATFusion: An Alternate Cross-Attention Transformer Network for Infrared and Visible Image Fusion
by: Yan, Han, et al.
Published: (2024)

An Attention-Enhanced Network with Joint Dehazing and Retinex-Based Enhancement for Underwater Images
by: Ray, Sahana, et al.
Published: (2026)

Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images
by: Deutges, Michael, et al.
Published: (2024)

Learning phase diversity for solving ill-posed inverse problems in imaging
by: Birdi, Jasleen, et al.
Published: (2025)

Attention-Based CNN-BiLSTM for Sleep State Classification of Spatiotemporal Wide-Field Calcium Imaging Data
by: Zhang, Xiaohui, et al.
Published: (2024)

Classification of Mitral Regurgitation from Cardiac Cine MRI using Clinically-Interpretable Morphological Features
by: On, Y., et al.
Published: (2024)

Towards Interpretable Attention Networks for Cervical Cancer Analysis
by: Wang, Ruiqi, et al.
Published: (2021)

MedMambaLite: Hardware-Aware Mamba for Medical Image Classification
by: Aalishah, Romina, et al.
Published: (2025)

Conveyor Line Color Object Sorting using A Monochrome Camera, Colored Light and RGB Filters
by: Petersen, Mason, et al.
Published: (2025)

OSLO-IC: On-the-Sphere Learned Omnidirectional Image Compression with Attention Modules and Spatial Context
by: Wawerek-López, Paul, et al.
Published: (2025)

Low-Light Image Enhancement Using Gamma Learning And Attention-Enabled Encoder-Decoder Networks
by: Debnath, Bibhabasu, et al.
Published: (2025)

Guaranteed Image Classification via Goal-oriented Joint Semantic Source and Channel Coding
by: Wu, Wenchao, et al.
Published: (2026)

MSRANetV2: An Explainable Deep Learning Architecture for Multi-class Classification of Colorectal Histopathological Images
by: Sarkar, Ovi, et al.
Published: (2025)

Dual Attention Model with Reinforcement Learning for Classification of Histology Whole-Slide Images
by: Raza, Manahil, et al.
Published: (2023)

Super-Resolution of Sentinel-2 Images Using a Geometry-Guided Back-Projection Network with Self-Attention
by: Pereira-Sánchez, Ivan, et al.
Published: (2025)

SDR-Based Metal Classification using Spectrogram Images from Micro-Doppler Signatures
by: Liaquat, Salman, et al.
Published: (2024)

AttCDCNet: Attention-enhanced Chest Disease Classification using X-Ray Images
by: Khater, Omar Hesham, et al.
Published: (2024)

Dual JPEG Compatibility: a Reliable and Explainable Tool for Image Forensics
by: Levecque, Etienne, et al.
Published: (2024)

KongNet: A Multi-headed Deep Learning Model for Detection and Classification of Nuclei in Histopathology Images
by: Lv, Jiaqi, et al.
Published: (2025)

Generative Diffusion Model Bootstraps Zero-shot Classification of Fetal Ultrasound Images In Underrepresented African Populations
by: Wang, Fangyijie, et al.
Published: (2024)

SNIC: Synthesized Noisy Images using Calibration
by: Bhatt, Nik
Published: (2025)

A Graph-Augmented knowledge Distillation based Dual-Stream Vision Transformer with Region-Aware Attention for Gastrointestinal Disease Classification with Explainable AI
by: Assaduzzaman, Md, et al.
Published: (2025)

Revisiting Integration of Image and Metadata for DICOM Series Classification: Cross-Attention and Dictionary Learning
by: Truong, Tuan, et al.
Published: (2026)

MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image Classification
by: Gao, Feng, et al.
Published: (2024)