Abstract: This paper proposes a hybrid deep learning model integrating DenseNet201 and InceptionV3 to address the challenges in achieving accurate and reliable cervical cancer classification. Current ...
, the code uses TensorFlow's tf.image.decode_jpeg to handle JPEG decoding. This means anyone using the multimodal features has to install the full TensorFlow package, which is pretty heavy (several ...
Abstract: Spelling error are a major problem in Natural Language Processing (NLP), particularly when it comes to Indonesian text, since they might reduce the ...
This repository provides an end-to-end pipeline for medical image segmentation using deep learning. Implemented in Python with TensorFlow, OpenCV, and other popular libraries, this project includes ...
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