Automated detection of Malignant Lesions in the ovary using deep learning models and XAI

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

Detalhes bibliográficos
Principais autores:	Ifty, Md. Hasin Sarwar, Nirjan, Nisharga, Diganta, M.A., Islam, Labib, Ornate, Reeyad Ahmed
Outros Autores:	Islam, Md. Saiful
Formato:	Tese
Idioma:	English
Publicado em:	Brac University 2024
Assuntos:	Ovarian cancer Convolutional neural network Deep learning XAI Disease detection Neural networks (Computer science) Artificial intelligence Deep learning (Machine learning)
Acesso em linha:	http://hdl.handle.net/10361/22877

Registros relacionados

A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
por: Mubin, Kazi Ehsanul, et al.
Publicado em: (2022)

Classification of peripheral blood cell images using deep learning
por: Aadi, Oyshik Ahmed, et al.
Publicado em: (2024)

Plant leaf disease identification
por: Hasan Mahin, Mohammad Rakibul, et al.
Publicado em: (2024)

Visual object recognition using deep convolutional neural network
por: Ahmed, Sabbir
Publicado em: (2017)

An efficient deep learning approach to detect skin Cancer
por: Islam, Ashfaqul, et al.
Publicado em: (2022)

Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
por: Reza, S. M. Mushfiq, et al.
Publicado em: (2024)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
por: Datta, Nirjhor, et al.
Publicado em: (2024)

Visual object classification from fMRI data
por: Newaz, Syed Mishar, et al.
Publicado em: (2022)

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
por: Radiah, Faiza, et al.
Publicado em: (2024)

An efficient deep learning approach to classify white blood cells
por: Turja, Afif Ibna Kadir Khan, et al.
Publicado em: (2024)

Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
por: Ashraf, S.M. Nabil, et al.
Publicado em: (2021)

Diabetic retinopathy detection and classification by using deep learning
por: Hossain, Shahriar, et al.
Publicado em: (2022)

ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
por: Bhuiyan, Abir Ahammed, et al.
Publicado em: (2024)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
por: Athina, Fahima Hasan, et al.
Publicado em: (2022)

Autonomous fault diagnosis of commercially available PV modules using high-end deep learning frameworks
por: Tasawar, Ihtyaz Kader, et al.
Publicado em: (2021)

Efficient image processing and machine learning approach for predicting retinal diseases
por: Hasib, Mehadi Hasan, et al.
Publicado em: (2021)

An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
por: Sagor, Mostofa Kamal, et al.
Publicado em: (2021)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
por: Sakir, Adnan, et al.
Publicado em: (2023)

Intracranial hemorrhage detection using CNN-LSTM fusion model
por: Ahmed, Kazi sabab, et al.
Publicado em: (2022)

Detection of handwritten text using convolutional neural network
por: Jasim, Rabib Bin, et al.
Publicado em: (2024)

Silent voice: harnessing deep learning for lip-reading in Bangla
por: Shaheen, Munia, et al.
Publicado em: (2024)

Leveraging sequential deep learning models for detecting multitude of human action categories
por: Pranta, Kazi Al Refat, et al.
Publicado em: (2024)

An efficient deep learning approach for brain tumor detection using 3D convolutional neural network
por: Ali, Syed Muaz
Publicado em: (2023)

KDANet: optical recognition for Bangla language using deep neural networks
por: Rabbi, Kazi Kamruzzaman, et al.
Publicado em: (2023)

An efficient deep learning approach to detect skin cancer using image data
por: Chowdhury, Yaser Al Rahman, et al.
Publicado em: (2023)

A deep learning approach for prediction of ADHD using brain structure
por: Siam, Shafin Ahad, et al.
Publicado em: (2024)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
por: Tasnim, Anika, et al.
Publicado em: (2022)

Pneumonia Disease detection using the convolutional neural network
por: Ashrafee, Md. Iftid, et al.
Publicado em: (2024)

Deep learning based early Glaucoma detection
por: Islam, Aabrar, et al.
Publicado em: (2024)

Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
por: Fiona, Driciru, et al.
Publicado em: (2024)

Corn leaf disease detection using deep convolution neural network
por: Rabbi, Rawhatur, et al.
Publicado em: (2023)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
por: Choudhury, Prionto Kumar, et al.
Publicado em: (2024)

Classification of retinal diseases from OCT images using deep learning models
por: Mokarrom, Md Saif, et al.
Publicado em: (2024)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
por: Ferdous, Md.Rubaiat, et al.
Publicado em: (2024)

Bang-lish sentiment classification using deep learning
por: Saleheen, Abrar, et al.
Publicado em: (2023)

Analysis of uncertainty in different neural network structures using monte carlo dropout
por: Islam, Md. Farhadul, et al.
Publicado em: (2024)

A novel lightweight CNN approach for Bangladeshi sign language gesture recognition
por: Rahman, Aryan, et al.
Publicado em: (2023)

An efficient ML approach to detect brain tumor using MRI images
por: Muktadir, MD. Arafat, et al.
Publicado em: (2024)

Thoracic complication detection on chest X-rays using deep learning
por: Ratul, Rizwanul Hoque, et al.
Publicado em: (2021)

Interpretable MOOC dropout prediction using different Ensemble Methods and XAI
por: Khan, Labib Hasan, et al.
Publicado em: (2023)