Cover Image

A High Magnifications Histopathology Image Dataset for Oral Squamous Cell Carcinoma Diagnosis and Prognosis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guan, Jinquan, Guo, Junhong, Chen, Qi, Chen, Jian, Cai, Yongkang, He, Yilin, Huang, Zhiquan, Wang, Yan, Xie, Yutong
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Cytology Dataset for Early Detection of Oral Squamous Cell Carcinoma
by: Jain, Garima, et al.
Published: (2025)

Reducing Histopathology Slide Magnification Improves the Accuracy and Speed of Ovarian Cancer Subtyping
by: Breen, Jack, et al.
Published: (2023)

Deep Learning Approach for Enhancing Oral Squamous Cell Carcinoma with LIME Explainable AI Technique
by: Islam, Samiha, et al.
Published: (2024)

Histo-Genomic Knowledge Distillation For Cancer Prognosis From Histopathology Whole Slide Images
by: Wang, Zhikang, et al.
Published: (2024)

A Lung Nodule Dataset with Histopathology-based Cancer Type Annotation
by: Jian, Muwei, et al.
Published: (2024)

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

Leveraging Pre-trained Models for FF-to-FFPE Histopathological Image Translation
by: Zhang, Qilai, et al.
Published: (2024)

TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model
by: Xu, Meilong, et al.
Published: (2024)

Attention-Guided Fair AI Modeling for Skin Cancer Diagnosis
by: Zhu, Mingcheng, et al.
Published: (2025)

Advancing H&E-to-IHC Stain Translation in Breast Cancer: A Multi-Magnification and Attention-Based Approach
by: Qu, Linhao, et al.
Published: (2024)

Learning-based Axial Video Motion Magnification
by: Byung-Ki, Kwon, et al.
Published: (2023)

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

Unrolling Plug-and-Play Gradient Graph Laplacian Regularizer for Image Restoration
by: Cai, Jianghe, et al.
Published: (2024)

M$^3$AD: Multi-task Multi-gate Mixture of Experts for Alzheimer's Disease Diagnosis with Conversion Pattern Modeling
by: Jiang, Yufeng, et al.
Published: (2025)

Efficient Classification of Histopathology Images
by: Nouyed, Mohammad Iqbal, et al.
Published: (2024)

Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency
by: Xu, Meilong, et al.
Published: (2023)

Adaptive Regularized Low-Rank Tensor Decomposition for Hyperspectral Image Denoising and Destriping
by: Li, Dongyi, et al.
Published: (2024)

Intelligent Diagnosis Using Dual-Branch Attention Network for Rare Thyroid Carcinoma Recognition with Ultrasound Imaging
by: Li, Peiqi, et al.
Published: (2025)

HYAMD High-Resolution Fundus Image Dataset for age related macular degeneration (AMD) Diagnosis
by: Meisel, Meishar, et al.
Published: (2025)

DCSNet: A Lightweight Knowledge Distillation-Based Model with Explainable AI for Lung Cancer Diagnosis from Histopathological Images
by: Alif, Sadman Sakib, et al.
Published: (2025)

Multi-Dataset Multi-Task Learning for COVID-19 Prognosis
by: Ruffini, Filippo, et al.
Published: (2024)

A Cross Spatio-Temporal Pathology-based Lung Nodule Dataset
by: Jian, Muwei, et al.
Published: (2024)

Revisiting Learning-based Video Motion Magnification for Real-time Processing
by: Ha, Hyunwoo, et al.
Published: (2024)

SegX: Improving Interpretability of Clinical Image Diagnosis with Segmentation-based Enhancement
by: Zhang, Yuhao, et al.
Published: (2025)

URCDM: Ultra-Resolution Image Synthesis in Histopathology
by: Cechnicka, Sarah, et al.
Published: (2024)

Histopathological Image Classification with Cell Morphology Aware Deep Neural Networks
by: Ignatov, Andrey, et al.
Published: (2024)

DLiPath: A Benchmark for the Comprehensive Assessment of Donor Liver Based on Histopathological Image Dataset
by: Pan, Liangrui, et al.
Published: (2025)

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

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology
by: Chen, Fuyao, et al.
Published: (2025)

A Chain-of-thought Reasoning Breast Ultrasound Dataset Covering All Histopathology Categories
by: Yu, Haojun, et al.
Published: (2025)

Purely Speckled Intensity Images Need for SAR Despeckling with SDS-SAR
by: Chen, Liang, et al.
Published: (2023)

NuSeC: A Dataset for Nuclei Segmentation in Breast Cancer Histopathology Images
by: Samet, Refik, et al.
Published: (2025)

A Segmentation Framework for Accurate Diagnosis of Amyloid Positivity without Structural Images
by: Zhu, Penghan, et al.
Published: (2025)

Transformer-based Learned Image Compression for Joint Decoding and Denoising
by: Chen, Yi-Hsin, et al.
Published: (2024)

Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide Images
by: Shui, Zhongyi, et al.
Published: (2025)

RFUDS -- A Brain Metastases Imaging Dataset of Radiotherapy Follow-Up
by: Fernandes, Margarida, et al.
Published: (2024)

Generative Data-engine Foundation Model for Universal Few-shot 2D Vascular Image Segmentation
by: Ge, Rongjun, et al.
Published: (2026)

S2LIC: Learned Image Compression with the SwinV2 Block, Adaptive Channel-wise and Global-inter Attention Context
by: Wang, Yongqiang, et al.
Published: (2024)

ADNP-15: An Open-Source Histopathological Dataset for Neuritic Plaque Segmentation in Human Brain Whole Slide Images with Frequency Domain Image Enhancement for Stain Normalization
by: Zhao, Chenxi, et al.
Published: (2025)

DehazeMamba: SAR-guided Optical Remote Sensing Image Dehazing with Adaptive State Space Model
by: Zhao, Zhicheng, et al.
Published: (2025)