Buchumschlag

Can We Go Beyond Visual Features? Neural Tissue Relation Modeling for Relational Graph Analysis in Non-Melanoma Skin Histology

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Venkatraman, Shravan, Kavitha, Muthu Subash, R, Joe Dhanith P, Manikandarajan, V, Wu, Jia
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Computer Vision and Pattern Recognition
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

iReasoner: Trajectory-Aware Intrinsic Reasoning Supervision for Self-Evolving Large Multimodal Models
von: Sunil, Meghana, et al.
Veröffentlicht: (2026)

TIDE: Two-Stage Inverse Degradation Estimation with Guided Prior Disentanglement for Underwater Image Restoration
von: Venkatraman, Shravan, et al.
Veröffentlicht: (2025)

SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers
von: Venkatraman, Shravan, et al.
Veröffentlicht: (2024)

Multimodal Emotion Recognition using Audio-Video Transformer Fusion with Cross Attention
von: R, Joe Dhanith P, et al.
Veröffentlicht: (2024)

CARL-CXR: Continual Adapter-Based Routing for Task-Unknown Chest Radiograph Classification
von: Kavitha, Muthu Subash, et al.
Veröffentlicht: (2026)

Artificial Intelligence for Road Anomaly Detection: A Review
von: Rohit Samanta, et al.
Veröffentlicht: (2026)

Exploiting Precision Mapping and Component-Specific Feature Enhancement for Breast Cancer Segmentation and Identification
von: V, Pandiyaraju, et al.
Veröffentlicht: (2024)

Leveraging Bi-Focal Perspectives and Granular Feature Integration for Accurate Reliable Early Alzheimer's Detection
von: Venkatraman, Shravan, et al.
Veröffentlicht: (2024)

Identification of Potential Biomarkers Related to the Progression and Prognosis of Parkinson's Disease and Melanoma via Combined System Biology Approaches
von: Ankita Murmu, et al.
Veröffentlicht: (2025)

A Systematic Survey of Graph Convolutional Networks for Artificial Intelligence Applications
von: Amutha Sadasivan, et al.
Veröffentlicht: (2025)

Deep Learning Applications in Dermatology: A Comparative Analysis of Melanoma and Non-Melanoma Skin Image Classification
von: Emine Nur Ozdemir, et al.
Veröffentlicht: (2019)

PCM-NeRF: Probabilistic Camera Modeling for Neural Radiance Fields under Pose Uncertainty
von: Venkatraman, Shravan, et al.
Veröffentlicht: (2026)

A Novel Self-Attention-Enabled Weighted Ensemble-Based Convolutional Neural Network Framework for Distributed Denial of Service Attack Classification
von: S, Kanthimathi, et al.
Veröffentlicht: (2024)

Generalizations of the Squircle-Lemniscate Relation and Keplerian Dynamics
von: Fiedorowicz, Zbigniew, et al.
Veröffentlicht: (2026)

FUSION: Frequency-guided Underwater Spatial Image recOnstructioN
von: Walia, Jaskaran Singh, et al.
Veröffentlicht: (2025)

A Novel Adaptive Hybrid Focal-Entropy Loss for Enhancing Diabetic Retinopathy Detection Using Convolutional Neural Networks
von: Malarvannan, Santhosh, et al.
Veröffentlicht: (2024)

Cancer‐Associated Fibroblast Signature Can Predict Prognosis and Therapeutic Responses in Skin Cutaneous Melanoma
von: Yue Zheng, et al.
Veröffentlicht: (2025)

Implying Volatility: How Fast Can We Go?
von: Floc'h, Fabien Le, et al.
Veröffentlicht: (2026)

Chapter ‘We Go as Far as We Can without Losing Sleep Over It’
von: Schmid, Evi | https://orcid.org/0000-0003-0364-8390
Veröffentlicht: (2026)

Targeted Neural Architectures in Multi-Objective Frameworks for Complete Glioma Characterization from Multimodal MRI
von: Venkatraman, Shravan, et al.
Veröffentlicht: (2024)

Can We Efficiently Help Adults Strengthen Their Relational Practice?
von: Tom Akiva, et al.
Veröffentlicht: (2022)

An Elementary Proof of a Remarkable Relation Between the Squircle and Lemniscate
von: Fiedorowicz, Zbigniew, et al.
Veröffentlicht: (2024)

Mathematical Foundations of Neural Tangents and Infinite-Width Networks
von: Mysore, Rachana, et al.
Veröffentlicht: (2025)

Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations
von: Tartaglini, Alexa R., et al.
Veröffentlicht: (2023)

Leveraging SeNet and ResNet Synergy within an Encoder-Decoder Architecture for Glioma Detection
von: V, Pandiyaraju, et al.
Veröffentlicht: (2024)

UGPL: Uncertainty-Guided Progressive Learning for Evidence-Based Classification in Computed Tomography
von: Venkatraman, Shravan, et al.
Veröffentlicht: (2025)

Customised Convolutional Neural Network With Transfer Learning for Multi‐Nutrient Deficiency Identification With Pattern and Deep Features in Paddy Image
von: S Kavitha, et al.
Veröffentlicht: (2025)

Why We Look Where We Look: Emergent Human-like Fixations of a Foveated Visual Language Model Maximizing Scene Understanding
von: Murlidaran, Shravan, et al.
Veröffentlicht: (2026)

Improving Melanoma Risk Stratification of Skin Color Type by Polygenic Scores of Skin Color and Melanoma
von: Huy Tran, et al.
Veröffentlicht: (2025)

Fusion of Deep and Time–Frequency Local Features for Melanoma Skin Cancer Detection
von: Hamidreza Eghtesaddoust, et al.
Veröffentlicht: (2025)

Breaking the Degeneracy of Sense Codons – How Far Can We Go?
von: Clark A. Jones, et al.
Veröffentlicht: (2024)

Where Are We Going?
von: Franklin, Hardy R.
Veröffentlicht: (1976)

Where Are We Going?
von: Laughlin, Mildred Knight
Veröffentlicht: (1988)

When Can We Track Significant Preference Shifts in Dueling Bandits?
von: Suk, Joe, et al.
Veröffentlicht: (2023)

How Low Can We Go? Minimizing Interaction Samples for Configurable Systems
von: Krupke, Dominik, et al.
Veröffentlicht: (2025)

LLM Compression: How Far Can We Go in Balancing Size and Performance?
von: Sk, Sahil, et al.
Veröffentlicht: (2025)

How Far Can We Go with Practical Function-Level Program Repair?
von: Xiang, Jiahong, et al.
Veröffentlicht: (2024)

Malignant Melanoma Misdiagnosis in the Diabetic Foot. What Can We Learn From the Published Literature?
von: Ivan R. Bristow, et al.
Veröffentlicht: (2026)

Where Do We Go from Here? Multi-scale Allocentric Relational Inference from Natural Spatial Descriptions
von: Paz-Argaman, Tzuf, et al.
Veröffentlicht: (2024)

Machine Learning for Radial Velocity Analysis I: Vision Transformers as a Robust Alternative for Detecting Planetary Candidates
von: Gavankar, Anoop, et al.
Veröffentlicht: (2025)