The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
Abstract: White blood cell (WBC) recognition is still a challenging problem because of the high variability and complexity of blood cell images. Blood cell images can vary in quality, resolution, ...
Abstract: This paper presents a field-programmable gate array (FPGA) based medical image processing framework using a hardware-software co-design approach for biomedical tasks such as Malaria and ...
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