A5100405407- AI in cancer detection
- Genetic diversity and population structure
- Nonmelanoma Skin Cancer Studies
- Cutaneous Melanoma Detection and Management
- Identification and Quantification in Food
- Marine Bivalve and Aquaculture Studies
- Neuroscience and Neural Engineering
- Genomics and Phylogenetic Studies
- Anomaly Detection Techniques and Applications
- Digital Media Forensic Detection
- Physiological and biochemical adaptations
- Computer Graphics and Visualization Techniques
- Computational Physics and Python Applications
- Plant Ecology and Taxonomy Studies
- CCD and CMOS Imaging Sensors
- Meat and Animal Product Quality
- Generative Adversarial Networks and Image Synthesis
- Model Reduction and Neural Networks
- Diatoms and Algae Research
- Advanced Memory and Neural Computing
Chinese PLA General Hospital
2025
Xiamen University
2008-2023
Skin lesion segmentation from dermoscopy images is of great significance in the quantitative analysis skin cancers, which yet challenging even for dermatologists due to inherent issues, i.e., considerable size, shape and color variation, ambiguous boundaries. Recent vision transformers have shown promising performance handling variation through global context modeling. Still, they not thoroughly solved problem boundaries as ignore complementary usage boundary knowledge contexts. In this...
Introduction Spiking Neural Networks (SNNs) offer a biologically inspired alternative to conventional artificial neural networks, with potential advantages in power efficiency due their event-driven computation. Despite promise, SNNs have yet achieve competitive performance on complex visual tasks, such as image classification. Methods This study introduces novel SNN architecture called SpikeAtConv, designed enhance computational efficacy and task accuracy. The features optimized spiking...
Interspecific hybrids between Haliotis discus hannai Ino and gigantea Gmelin were produced in this study. The hybridity of the interspecific was confirmed by using methods amplified fragment-length polymorphism (AFLP) microsatellite [simple sequence repeats (SSR)] markers. Five AFLP primer combinations used to develop profiles H. hannai, their reciprocal hybrids. analysis revealed that genetic variations relatively diverse each species holds species-specific bands. showed all inherited bands...
Nine novel microsatellite primer pairs were presented for Babylonia areolata, representing the first markers available this genus. Levels of polymorphism variable with 2 to 11 alleles per locus and expected heterozygosities ranging from 0.073 0.907 in 27 individuals population which loci isolated. We found significant heterozygote deficit at one that might be attributable null alleles. successful cross-amplifying six congeneric B. formosae habei. These are therefore potentially useful...
Skin lesion segmentation in dermoscopy images is highly relevant for assessment and subsequent analysis. Recently, automatic transformer-based skin models have achieved high accuracy owing to their long-range modeling capability. However, limited labeled data training the results sub-optimal learning results. In this paper, we propose a Global-to-Local self-supervised Learning (G2LL) method alleviate problem of insufficient annotated data. Firstly, structure-wise masking strategy Masked...
Skin lesion segmentation from dermoscopy images is of great significance in the quantitative analysis skin cancers, which yet challenging even for dermatologists due to inherent issues, i.e., considerable size, shape and color variation, ambiguous boundaries. Recent vision transformers have shown promising performance handling variation through global context modeling. Still, they not thoroughly solved problem boundaries as ignore complementary usage boundary knowledge contexts. In this...