Search Results for author:
Found 4 papers, 2 papers with code
Point2Mask: A Weakly Supervised Approach for Cell Segmentation Using Point Annotation
This paper presents a weakly supervised approach, which can perform cell instance segmentation by using only point and bounding box-based annotation.
LIVECell—A large-scale dataset for label-free live cell segmentation
Light microscopy combined with well-established protocols of two-dimensional cell culture facilitates high-throughput quantitative imaging to study biological phenomena.
Ranked #1 on
Cell Segmentation
on LIVECell
Cell Segmentation
Cultural Vocal Bursts Intensity Prediction
+4
Out-of-Distribution Example Detection in Deep Neural Networks using Distance to Modelled Embedding
DIME allows us to add prediction-time detection of out-of-distribution examples to neural network models without altering architecture or training while imposing minimal constraints on when it is applicable.
DeepCeNS: An end-to-end Pipeline for Cell and Nucleus Segmentation in Microscopic Images
To address the aforementioned challenges, DeepCeNS is proposed in this paper to detect and segment cells and nucleus in microscopic images.
Ranked #1 on
Cell Segmentation
on EVICAN
