Copertina

DALight-3D: A Lightweight 3D U-Net for Brain Tumor Segmentation from Multi-Modal MRI

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Mishra, Nand Kumar, Mishra, Dhruv, Singh, Dr Manu Pratap
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition Machine Learning Neural and Evolutionary Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Reliable Brain Tumor Segmentation Based on Spiking Neural Networks with Efficient Training
di: Ghiardelli, Aurora Pia, et al.
Pubblicazione: (2026)

A Lightweight Convolution and Vision Transformer integrated model with Multi-scale Self-attention Mechanism
di: Zhang, Yi, et al.
Pubblicazione: (2025)

Two-Stage Multi-task Self-Supervised Learning for Medical Image Segmentation
di: Hu, Binyan, et al.
Pubblicazione: (2024)

A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation
di: Zhao, Yifan, et al.
Pubblicazione: (2024)

Expert-Adaptive Medical Image Segmentation
di: Hu, Binyan, et al.
Pubblicazione: (2024)

TinySeg: Model Optimizing Framework for Image Segmentation on Tiny Embedded Systems
di: Chae, Byungchul, et al.
Pubblicazione: (2024)

Impact of Financial Literacy on Investment Decisions and Stock Market Participation using Extreme Learning Machines
di: Baveja, Gunbir Singh, et al.
Pubblicazione: (2024)

Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image Segmentation
di: Gu, Yuliang, et al.
Pubblicazione: (2024)

Accurate and Efficient Event-based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network
di: Zhang, Rui, et al.
Pubblicazione: (2023)

From Lightweight CNNs to SpikeNets: Benchmarking Accuracy-Energy Tradeoffs with Pruned Spiking SqueezeNet
di: Kabir, Radib Bin, et al.
Pubblicazione: (2026)

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions
di: He, Huaxu
Pubblicazione: (2024)

Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition
di: Wang, Jingyao, et al.
Pubblicazione: (2024)

BrainMAP: Multimodal Graph Learning For Efficient Brain Disease Localization
di: Le, Nguyen Linh Dan, et al.
Pubblicazione: (2025)

Multi-Task Neural Architecture Search Using Architecture Embedding and Transfer Rank
di: Zhang, TingJie, et al.
Pubblicazione: (2025)

Snapshot 3D image projection using a diffractive decoder
di: Isil, Cagatay, et al.
Pubblicazione: (2025)

DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs
di: Kim, Donghyun, et al.
Pubblicazione: (2024)

A Novel Structure-Agnostic Multi-Objective Approach for Weight-Sharing Compression in Deep Neural Networks
di: Khosrowshahli, Rasa, et al.
Pubblicazione: (2025)

Learned Neural Physics Simulation for Articulated 3D Human Pose Reconstruction
di: Andriluka, Mykhaylo, et al.
Pubblicazione: (2024)

V3H: View Variation and View Heredity for Incomplete Multi-view Clustering
di: Fang, Xiang, et al.
Pubblicazione: (2020)

NeuReg: Domain-invariant 3D Image Registration on Human and Mouse Brains
di: Razzaq, Taha, et al.
Pubblicazione: (2024)

Foundry: Distilling 3D Foundation Models for the Edge
di: Letellier, Guillaume, et al.
Pubblicazione: (2025)

Uncertainty Quantification in Detecting Choroidal Metastases on MRI via Evolutionary Strategies
di: McRae-Posani, Bala, et al.
Pubblicazione: (2024)

NeuralDiffuser: Neuroscience-inspired Diffusion Guidance for fMRI Visual Reconstruction
di: Li, Haoyu, et al.
Pubblicazione: (2024)

Brain-Inspired Online Adaptation for Remote Sensing with Spiking Neural Network
di: Duan, Dexin, et al.
Pubblicazione: (2024)

SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks
di: Shi, Xinyu, et al.
Pubblicazione: (2024)

Evolutionary Neural Architecture Search for 3D Point Cloud Analysis
di: Yang, Yisheng, et al.
Pubblicazione: (2024)

SpikingRTNH: Spiking Neural Network for 4D Radar Object Detection
di: Paek, Dong-Hee, et al.
Pubblicazione: (2025)

Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket
di: Zhou, Zhaokun, et al.
Pubblicazione: (2024)

Spiking CenterNet: A Distillation-boosted Spiking Neural Network for Object Detection
di: Bodden, Lennard, et al.
Pubblicazione: (2024)

XOResNet: Exclusive-OR Meta-Residuals Facilitate Deep Spiking Neural Networks Learning
di: Wu, Jianfang, et al.
Pubblicazione: (2026)

Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification
di: Mishra, Abhishek, et al.
Pubblicazione: (2024)

ST-FlowNet: An Efficient Spiking Neural Network for Event-Based Optical Flow Estimation
di: Sun, Hongze, et al.
Pubblicazione: (2025)

Enhancing SNN-based Spatio-Temporal Learning: A Benchmark Dataset and Cross-Modality Attention Model
di: Zhou, Shibo, et al.
Pubblicazione: (2024)

PARSE-Ego4D: Personal Action Recommendation Suggestions for Egocentric Videos
di: Abreu, Steven, et al.
Pubblicazione: (2024)

Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation
di: Lei, Zhenxin, et al.
Pubblicazione: (2024)

Scaling Up Resonate-and-Fire Networks for Fast Deep Learning
di: Huber, Thomas E., et al.
Pubblicazione: (2025)

An Automatic Detection Method for Hematoma Features in Placental Abruption Ultrasound Images Based on Few-Shot Learning
di: Liu, Xiaoqing, et al.
Pubblicazione: (2025)

TDSNNs: Competitive Topographic Deep Spiking Neural Networks for Visual Cortex Modeling
di: Zhou, Deming, et al.
Pubblicazione: (2025)

Neuro-Inspired Visual Pattern Recognition via Biological Reservoir Computing
di: Ciampi, Luca, et al.
Pubblicazione: (2026)

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks
di: Neumeier, Michael, et al.
Pubblicazione: (2025)