Find Jobs
Hire Freelancers

Machine learning to automatically perform lesion segmentation of MRI images

£250-750 GBP

Cerrado
Publicado hace casi 8 años

£250-750 GBP

Pagado a la entrega
I have MRI scans of multiple sclerosis patients (available sequences: T2, flair, T1) and would like to apply machine learning for lesion segmentation. Bid from users with previous experience in similar projects would be preferred. Feel free to discuss further details over chat
ID del proyecto: 10357437

Información sobre el proyecto

9 propuestas
Proyecto remoto
Activo hace 8 años

¿Buscas ganar dinero?

Beneficios de presentar ofertas en Freelancer

Fija tu plazo y presupuesto
Cobra por tu trabajo
Describe tu propuesta
Es gratis registrarse y presentar ofertas en los trabajos
9 freelancers están ofertando un promedio de £542 GBP por este trabajo
Avatar del usuario
hello! very pleased to find a nice project involving machine learning. I usually take up image processing projects since I'm a research student in data science specializing in machine learning methods. hence, basically i work with classifier etc. pertaining to your task, I've worked on detection of tubules in lungs, cell bodies in neuronal stack images, however, have designed classifier for variety of tasks. kindly message me so that i can understand your datasets, sizes, SVM or whatever you've tried, any paper that you want to implement etc.....thanks (I'll revise the bid after we discuss)
£332 GBP en 11 días
5,0 (3 comentarios)
3,5
3,5
Avatar del usuario
Hi, I am Sourabh Jain, I am interested in the project. I have good experience with machine learning algorithms like ANN and Bayesian method. In this project, I will use labeled legion map as input for training of algorithm. I will use, most likely, ANN (feedforward with backpropagation) for purpose of classification. After classification, feature extraction will be performed using voxel intensities on T1, T2 and FLAIR. This data is required to be normalized, which is a tricky part as further processing (data smoothing etc) will depend upon it. I am using following references for this project. " A Comparison of Supervised Machine Learning Algorithms and Feature Vectors for MS Lesion Segmentation Using Multimodal Structural MRI" by Sweeney et al AND "White Matter Lesion Segmentation Using Machine Learning and Weakly Labeled MR Images" by Xie and Tao. Please let me know if you have other references. If you would like to discuss this further, please let me know. Regards Sourabh
£1.000 GBP en 30 días
5,0 (2 comentarios)
3,0
3,0
Avatar del usuario
I have 10+ years experience in machine learning and a PhD in image processing. I have been involved in projects similar to this. Previous in my team, wavelet was used for feature extraction and KNN and bayesian for clustering of MRI images. Let's share some thoughts and look at some sample scans at your convenient time.
£555 GBP en 10 días
0,0 (0 comentarios)
0,0
0,0
Avatar del usuario
Dear, I am a very experienced image analyst. I have 10+ years of experiences in developing computer vision/machine learning applications that are used on daily bases. I have been working on different computer vision project in the past and I am confident I can deliver great results. I am confident in programing in C++ and Matlab. While working for Garvan medical institute in Sydney I have gained a lot of experiences dealing with medical images (including MRI). To estimate time and cost exactly I would have to see the images and learn more specific about the project.
£555 GBP en 15 días
0,0 (0 comentarios)
0,0
0,0
Avatar del usuario
Hello, my name is Vitali Mueller and I really like your project proposal. I have the right knowledge to solve your project. I am holding a machine learning certificate and would realy enjoy to work for you. You can expect professional approach and of course you can provide your feesback. Looking forward to working with you. Kind Regards Vitali
£277 GBP en 14 días
0,0 (0 comentarios)
0,0
0,0

Sobre este cliente

Bandera de ITALY
Carbonate, Italy
5,0
43
Forma de pago verificada
Miembro desde jun 30, 2013

Verificación del cliente

¡Gracias! Te hemos enviado un enlace para reclamar tu crédito gratuito.
Algo salió mal al enviar tu correo electrónico. Por favor, intenta de nuevo.
Usuarios registrados Total de empleos publicados
Freelancer ® is a registered Trademark of Freelancer Technology Pty Limited (ACN 142 189 759)
Copyright © 2024 Freelancer Technology Pty Limited (ACN 142 189 759)
Cargando visualización previa
Permiso concedido para Geolocalización.
Tu sesión de acceso ha expirado y has sido desconectado. Por favor, inica sesión nuevamente.