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1. Deep-learning-recognition-of-diseased-and-normal-cell-representation Deep-learning-recognition-of-diseased-and-normal-cell-representation Public

   Diseased and normal cell recognition by using deep learning, Newly image dataset were used.

   Jupyter Notebook 2

2. Deep-Learning-and-Cell Deep-Learning-and-Cell Public

   Diseased and Normal cell Classification

3. Effect-of-Drug-on-Cell-Image-by-using-Improved-Correlation Effect-of-Drug-on-Cell-Image-by-using-Improved-Correlation Public

   Effect of Drug on Cell Image by using Improved Correlation

4. Efficient-cell-classification-of-mitochondrial-images-by-using-deep-learning Efficient-cell-classification-of-mitochondrial-images-by-using-deep-learning Public

   We developed a deep learning-based framework DNCIC that can accurately predict normal mitochondria and drug-affected cells that are rare or not observed. For optimization, we used a convolutional n…

5. Cell-Recognition-of-Microscopy-Images-of-TPEF-Two-Photon-Excited-Florescence-Probes Cell-Recognition-of-Microscopy-Images-of-TPEF-Two-Photon-Excited-Florescence-Probes Public

   Cell Recognition, Normal and drug treated cell

6. Mitochondrial-Organelle-Movement-Classification-Fission-and-Fusion-via-ConvolutionalNeural-Network- Mitochondrial-Organelle-Movement-Classification-Fission-and-Fusion-via-ConvolutionalNeural-Network- Public

   Mitochondria are highly dynamic cellular organelles, with the ability to change size, shape, and position over the course of a few seconds. Mitochondrial organelle movement refers to the problem of…