Skip to content
Narinder Singh Punn | punndeeplearningblog@gmail.com | nspunn1993@gmail.com | nspunn@iiitm.ac.in
PDLB
  • My Profile
  • Blog
  • Toggle website search
Menu Close
  • My Profile
  • Blog
  • Toggle website search

Loss functions

  1. Home>
  2. Blog>
  3. Loss functions

Biomedical image analysis: Segmentation, datasets, metrics and loss functions

  • Post author:N S Punn
  • Post published:July 24, 2021
  • Post category:My work/Tutorial
  • Post comments:0 Comments

Biomedical image analysis The success of deep learning in image analysis has encouraged the biomedical imaging researchers to investigate its potential in analyzing various medical modalities to aid clinicians in…

Continue ReadingBiomedical image analysis: Segmentation, datasets, metrics and loss functions

Recent Posts

  • Improved Interpretability and Explainability of Deep Learning Models
  • Pytorch Skeleton Code for Binary and Multi-class Classification
  • BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins
  • RCA-IUnet: A residual cross-spatial attention guided inception U-Net model for tumor segmentation in breast ultrasound imaging
  • Glimpse of 8th Heidelberg Laureate Forum 2021

Categories

  • Concepts
  • Concepts
  • Configuration setup
  • Development
  • Events
  • My work
  • Tutorial

Punn’s Deep Learning Blog

© All Rights Reserved.

Recent Posts

  • Improved Interpretability and Explainability of Deep Learning Models
  • Pytorch Skeleton Code for Binary and Multi-class Classification
  • BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins
  • RCA-IUnet: A residual cross-spatial attention guided inception U-Net model for tumor segmentation in breast ultrasound imaging
  • Glimpse of 8th Heidelberg Laureate Forum 2021
  • My Profile
  • Blog
  1. Home>
  2. Blog>
  3. Loss functions