Artificial intelligence as the next step towards precision pathology
… The appearance of digital image analysis holds promise to … the latest developments in digital
image analysis and in the … the existing requirements of self-validation and certification route. …
image analysis and in the … the existing requirements of self-validation and certification route. …
Deep learning for whole slide image analysis: an overview
… Validation studies have shown correlation between digital … becomes wider, automated
image analysis of tissue morphology … On the one hand, the visual understanding of the images, …
image analysis of tissue morphology … On the one hand, the visual understanding of the images, …
Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
… mostly based on hand-crafted … test set set (only the images, without labels) was released
on July 2018, and the participants were invited to submit their results for an offline validation. …
on July 2018, and the participants were invited to submit their results for an offline validation. …
Braingnn: Interpretable brain graph neural network for fmri analysis
… On the one hand, for precision medicine, individual-level biomarkers are … , validation, and
testing sets five times. Hyperparameters for baseline methods are also tuned on the validation …
testing sets five times. Hyperparameters for baseline methods are also tuned on the validation …
A review on deep learning in medical image analysis
S Suganyadevi, V Seethalakshmi… - International Journal of …, 2022 - Springer
… In the field of medical image processing methods and analysis, fundamental information and
… The primary goals of this paper are to present research on medical image processing as …
… The primary goals of this paper are to present research on medical image processing as …
Pose-invariant embedding for deep person re-identification
… For PoseBox, on the other hand, we directly utilize the PoseBox aspect ratio as shown in
Fig… The identification losses and the verification loss has the same weight. Results of this …
Fig… The identification losses and the verification loss has the same weight. Results of this …
Learning deep features for one-class classification
… With this requirement in hand, we aim to find a feature … As for the reference dataset, we used
the validation set of the … the similarity between a test image and the stored templates. In all …
the validation set of the … the similarity between a test image and the stored templates. In all …
Region attention networks for pose and occlusion robust facial expression recognition
… On one hand, cropping regions can enlarge the training data which is important for those …
28,709 training images, 3,589 validation images and 3,589 test images. All face images in the …
28,709 training images, 3,589 validation images and 3,589 test images. All face images in the …
[HTML][HTML] An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays
… Validation of wound formation mold The manually raised hand induced scratch is highly
variable with respect to the width, and this variability affects the cell migration rate and the …
variable with respect to the width, and this variability affects the cell migration rate and the …
Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images
… a fundamental medical image analysis task involving multiple … On the other hand, transformer
models have demonstrated … Our model is one of the top-ranking methods in the validation …
models have demonstrated … Our model is one of the top-ranking methods in the validation …