3 papers
cs.CV2024
Explainable Contrastive and Cost-Sensitive Learning for Cervical Cancer Classification
Ashfiqun Mustari, Rushmia Ahmed, Afsara Tasnim +2
This paper proposes an efficient system for classifying cervical cancer cells using pre-trained convolutional neural networks (CNNs). We first fine-tune five pre-trained CNNs and m…
cs.CL2023
Towards Automated Recipe Genre Classification using Semi-Supervised Learning
Nazmus Sakib, G. M. Shahariar, Md. Mohsinul Kabir +2
Sharing cooking recipes is a great way to exchange culinary ideas and provide instructions for food preparation. However, categorizing raw recipes found online into appropriate foo…
cs.CV2023
Gastrointestinal Disease Classification through Explainable and Cost-Sensitive Deep Neural Networks with Supervised Contrastive Learning
Dibya Nath, G. M. Shahariar
Gastrointestinal diseases pose significant healthcare chall-enges as they manifest in diverse ways and can lead to potential complications. Ensuring precise and timely classificati…