Results 131 to 140 of about 12,457,928 (304)
Image semantic segmentation of indoor scenes: A survey
Computer Vision and Image UnderstandingThis survey provides a comprehensive evaluation of various deep learning-based segmentation architectures. It covers a wide range of models, from traditional ones like FCN and PSPNet to more modern approaches like SegFormer and FAN. In addition to assessing the methods in terms of segmentation accuracy, we propose to also evaluate the methods in terms ...
Ronny Velastegui +3 more
openaire +3 more sources
Disentangling Heterogeneous Molecular Networks for Multi‐Omics‐Driven Cancer Driver Discovery
Advanced Science, EarlyView.DRIVE integrates PPI topology and pan‐cancer multi‐omics profiles through dual‐view graph disentanglement, contrastive representation learning, and joint optimization. Across six PPI networks, DRIVE outperforms ten baselines and remains robust to structural and annotation perturbations.
Xinjing Gong +8 more
wiley +1 more source
Trustworthy Breast Ultrasound Image Semantic Segmentation Based on Fuzzy Uncertainty Reduction. [PDF]
Healthcare (Basel), 2022 Huang K, Zhang Y, Cheng HD, Xing P.
europepmc +1 more source
Advanced Science, EarlyView.DUET‐seq is an open‐source droplet platform that jointly profiles chromatin accessibility and gene expression from the same nucleus. Dissolvable dual‐linker hydrogel beads and a one‐step intra‐droplet RT‐PCR co‐index both modalities in under 12 h at roughly $0.04 per cell.
Dong Cheng +16 more
wiley +1 more source
Image Semantic Segmentation of Underwater Garbage with Modified U-Net Architecture Model. [PDF]
Sensors (Basel), 2022 Wei L, Kong S, Wu Y, Yu J.
europepmc +1 more source
Advanced Science, EarlyView.Large language models serve as representation generators for gradient‐free scientific optimization. Two complementary approaches produce executable battery‐charging policies either directly or through LLM‐designed neural representations coupled to Bayesian optimization.
Ge Lei +3 more
wiley +1 more source
MFEAFN: Multi-scale feature enhanced adaptive fusion network for image semantic segmentation. [PDF]
PLoS One, 2022 Li S, Wan L, Tang L, Zhang Z.
europepmc +1 more source
CNN-aware binary MAP for general semantic segmentation
, 2016 In this paper we introduce a novel method for general semantic segmentation that can benefit from general semantics of Convolutional Neural Network (CNN). Our segmentation proposes visually and semantically coherent image segments. We use binary encoding
Moin Nabi +9 more
core +1 more source
Advanced Science, EarlyView.DAIMS is a multimodal model for treatment stratified risk and survival assessment in colorectal cancer. Training draws on pathology, genomics, and clinical reports, yet inference requires only whole slide images, and adaptation to new cohorts proceeds without target survival outcomes.
Chuangjie Cao +15 more
wiley +1 more source
Adaptive Multi-ROI Agricultural Robot Navigation Line Extraction Based on Image Semantic Segmentation. [PDF]
Sensors (Basel), 2022 Li X, Su J, Yue Z, Duan F.
europepmc +1 more source