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Tag Archive

  • #Nematode
  • #Phenotyping
  • #Neuron
  • #Brain Segmentation
  • #Multi-Modality
  • #Instance Segmentation
  • #Pixel Embedding
  • #Weakly-Supervised
  • #Distance Regression
  • #Semi-Supervised
  • #Shape Prior
  • #Segmentation
  • #Image-label Supervised
  • #Evaluation Metric
  • #Annotation
  • #Image Augmentation
  • #Machine Learnig

Nematode

  • PheNeSens: Phenotyping of Nematodes with Sensors
  • Instance Segmentation of Nematode Cysts in Microscopic Images of Soil Samples
  • A CNN Framework Based on Line Annotations for Detecting Nematodes in Microscopic Images
  • High-throughput phenotyping of nematode cysts

Phenotyping

  • PheNeSens: Phenotyping of Nematodes with Sensors

Neuron

  • NeuronSeg: Neuron Analysis in Calcium Images

Brain Segmentation

  • MixNet Multi-modality Mix Network for Brain Segmentation

Multi-Modality

  • MixNet Multi-modality Mix Network for Brain Segmentation

Instance Segmentation

  • Instance Segmentation of Nematode Cysts in Microscopic Images of Soil Samples
  • Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints
  • A CNN Framework Based on Line Annotations for Detecting Nematodes in Microscopic Images
  • Improving Pixel Embedding Learning through Intermediate Distance Regression Supervision
  • Semi-supervised Instance Segmentation with a Learned Shape Prior
  • High-throughput phenotyping of nematode cysts
  • Instance Segmentation of Dense and Overlapping Objects via Layering
  • SortedAP: Rethinking evaluation metrics for instance segmentation

Pixel Embedding

  • Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints
  • Improving Pixel Embedding Learning through Intermediate Distance Regression Supervision
  • Instance Segmentation of Dense and Overlapping Objects via Layering

Weakly-Supervised

  • A CNN Framework Based on Line Annotations for Detecting Nematodes in Microscopic Images

Distance Regression

  • Improving Pixel Embedding Learning through Intermediate Distance Regression Supervision

Semi-Supervised

  • Semi-supervised Instance Segmentation with a Learned Shape Prior
  • Learning to Segment Fine Structures Under Image-Level Supervision With an Application to Nematode Segmentation

Shape Prior

  • Semi-supervised Instance Segmentation with a Learned Shape Prior

Segmentation

  • Learning to Segment Fine Structures Under Image-Level Supervision With an Application to Nematode Segmentation

Image-label Supervised

  • Learning to Segment Fine Structures Under Image-Level Supervision With an Application to Nematode Segmentation

Evaluation Metric

  • SortedAP: Rethinking evaluation metrics for instance segmentation

Annotation

  • IMANNO: IMage ANNOtation Toolkot

Image Augmentation

  • tfAugment: Image Augmentation for Tensorflow

Machine Learnig

  • tfAugment: Image Augmentation for Tensorflow