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.

Bibliografiset tiedot
Päätekijät:	Ifty, Md. Hasin Sarwar, Nirjan, Nisharga, Diganta, M.A., Islam, Labib, Ornate, Reeyad Ahmed
Muut tekijät:	Islam, Md. Saiful
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2024
Aiheet:	Ovarian cancer Convolutional neural network Deep learning XAI Disease detection Neural networks (Computer science) Artificial intelligence Deep learning (Machine learning)
Linkit:	http://hdl.handle.net/10361/22877

Samankaltaisia teoksia

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

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

Plant leaf disease identification
Tekijä: Hasan Mahin, Mohammad Rakibul, et al.
Julkaistu: (2024)

Visual object recognition using deep convolutional neural network
Tekijä: Ahmed, Sabbir
Julkaistu: (2017)

An efficient deep learning approach to detect skin Cancer
Tekijä: Islam, Ashfaqul, et al.
Julkaistu: (2022)

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

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

Visual object classification from fMRI data
Tekijä: Newaz, Syed Mishar, et al.
Julkaistu: (2022)

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

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

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

Diabetic retinopathy detection and classification by using deep learning
Tekijä: Hossain, Shahriar, et al.
Julkaistu: (2022)

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

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

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

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

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

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

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

Detection of handwritten text using convolutional neural network
Tekijä: Jasim, Rabib Bin, et al.
Julkaistu: (2024)

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

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

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

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

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

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

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

Pneumonia Disease detection using the convolutional neural network
Tekijä: Ashrafee, Md. Iftid, et al.
Julkaistu: (2024)

Deep learning based early Glaucoma detection
Tekijä: Islam, Aabrar, et al.
Julkaistu: (2024)

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

Corn leaf disease detection using deep convolution neural network
Tekijä: Rabbi, Rawhatur, et al.
Julkaistu: (2023)

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

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

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

Bang-lish sentiment classification using deep learning
Tekijä: Saleheen, Abrar, et al.
Julkaistu: (2023)

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

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

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

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

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