Cell Segmentation
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Benchmarks
Fluo-N2DL-HeLa
LIVECell
DIC-C2DH-HeLa
EVICAN
Fluo-N2DH-GOWT1
Fluo-N2DH-SIM+
CoNSeP
Fluo-C3DL-MDA231
MoNuSeg
PanNuke
PhC-C2DH-U373
STARE
Most implemented
U-Net: Convolutional Networks for Biomedical Image Segmentation
SPPNet: A Single-Point Prompt Network for Nuclei Image Segmentation
Deep Learning in Single-Cell Analysis
Papers
Compositional Reward Models for Conditional Medical Image Generation
Acquiring high quality annotated medical image data is critical for training deep learning models; however, annotation is expensive, time consuming, and requires domain expertise. Conditional diffusion models, such as Co…
Skin Lesion ClassificationMedical Image GenerationReinforcement LearningCell SegmentationQCell: Recombining and Aligning Cell Queries for Overlapping Instance Segmentation
Instance segmentation of overlapping cells in microscopy remains challenging due to semi-transparent structures that produce weak boundaries and mixed visual evidence in overlap regions. Existing methods address this thr…
Instance SegmentationCell SegmentationMorphology-Aware Implicit Super-Resolution Network for Pathological Images
Accurate diagnosis in Digital Pathology (DP) relies on high-resolution whole-slide images, yet clinical deployment is often limited by hardware costs. Super-Resolution (SR) offers a promising alternative by computational…
Cell SegmentationSAFViT: Spatial Attention Fusion Gating for Vision Transformer-Based Nucleus Segmentation and Classification
Accurate cell segmentation and classification are foundational to digital pathology, enabling quantitative tissue analysis for diagnosis and treatment planning. Encoder-decoder architectures that fuse multi-scale feature…
Cell SegmentationMalariAI: A Label-Resilient Decoupled Framework for Universal Cell Segmentation and Explainable Stage Classification in Dense Malaria Blood Smears
Automated malaria diagnosis from blood smear microscopy is a critical challenge in global health AI; in resource-limited settings, the scarcity of expert microscopists remains the primary bottleneck to timely and accurat…
Image ClassificationCell SegmentationRethinking the Adaptation of Vision Foundation Models for Efficient Cell Segmentation
Cell segmentation is critical for computational pathology and biomedical discovery. While recent Vision Foundation Models (VFMs) have demonstrated remarkable universal feature representations, unlocking their full potent…
Cell Segmentation