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Published: 27 December 2024
Figure 1. GeniePool 2.0 user interface. Genomic coordinates for either a single variant or co-occurrence of two variants are searched within NGS samples from SRA. Resulting variants can be filtered by sample attributes. Selected variants will provide information about each variant and its study.
Journal Article
Grisha Weintraub and others
Database, Volume 2024, 2024, baae130, https://doi.org/10.1093/database/baae130
Published: 27 December 2024
Journal Article
Muhammad Shahzad and others
Database, Volume 2024, 2024, baae120, https://doi.org/10.1093/database/baae120
Published: 25 December 2024
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Published: 25 December 2024
Figure 2. The complete schematic overview of blood collection to dataset development.
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Published: 25 December 2024
Figure 3. Original images along with segmented binary, and RGB ground truth of healthy and anemic samples.
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Published: 25 December 2024
Figure 4. Original and RGB segmented ground truth samples of healthy and anemic images including original, ground truth, CBC report, and doctor decision in AneRBC-I dataset.
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Published: 25 December 2024
Figure 6. Samples images from AneRBC-II dataset, where 1224 × 960 is divided into 12 subimages with size 306 × 320.
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Published: 25 December 2024
Figure 10. Training and validation graph for Unet and LinkNet models.
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Published: 25 December 2024
Figure A1. continued
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Published: 25 December 2024
Figure A2. continued
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Published: 25 December 2024
Figure 5. The directory structure of the AneRBC Dataset.
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Published: 25 December 2024
Figure 7. Red blood cells in the anemic images can be classified as normal, macrocytes, elliptocytes, microcytes, and target cells.
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Published: 25 December 2024
Figure 8. Graph of discriminator loss, generator loss, and mean square error.
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Published: 25 December 2024
Figure 1. Clinical tests complete-blood-count (CBC) and morphology analysis are used for anemia diagnosis.
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Published: 25 December 2024
Figure 9. Visual results of image segmentation using the GAN network at different epochs.
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Published: 25 December 2024
Figure 11. Training and validation accuracy and loss for both datasets regarding the classification of VGG16 and MobileNet.
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Published: 25 December 2024
Figure A1. (a) Training progress of Atten_UNet on AneRBC-I and AneRBC-II. (b) IoU and Dice-Coefficient of UNet on AneRBC-I and AneRBC-II. (c) IoU and Dice-Coefficient of LinkNet on AneRBC-I and AneRBC-II.
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Published: 25 December 2024
Figure A2. (a) Training accuracy and loss for InceptionV3 and ResNet152v2 for both datasets. (b) Confusion Matrix for InceptionV3 and ResNet152v2, VGG16, and InceptionV3 for AneRBC-I dataset. (c) Confusion Matrix for InceptionV3 and ResNet152v2, VGG16, and InceptionV3 for AneRBC-II dataset.
Journal Article
Muhammad Shahzaib and others
Database, Volume 2024, 2024, baae124, https://doi.org/10.1093/database/baae124
Published: 21 December 2024
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Published: 21 December 2024
Figure 2. Statistics of distribution of chemoresistance genes (a) and their target drugs (b) included in MiCK.