Gabi Dobocanblog.telepat.io·Nov 20, 2024Unlocking Medical Image Segmentation: A Deep Dive into SAM-Driven Pseudo Label RefinementModern technology has transformed many aspects of healthcare, with medical imaging being one zone experiencing remarkable advancements. Yet, accurate segmentation of medical images remains a challenging task. Often, it hinges on vast datasets full of...medical image segmentation
Gabi Dobocanblog.telepat.io·Nov 20, 2024Unlocking the Power of AI in Medical Image Segmentation: A Deep Dive into Semi-Supervised Learning with SAMIn the world of medical imaging, precision is everything. The task of semantic segmentation — identifying and delineating objects within images — is a cornerstone of medical data analysis. However, the challenge lies in the dependency on large, annot...Dice scores
HowAiWorksblog.howai.works·Oct 21, 2024Machine LearningArtificial intelligence has been the subject of much hype in recent years. The reason for this is the progress made in the field of machine learning. This article gives an overview of the topic and is suitable for beginners and advanced users. Types ...36 readsMachine Learning
Sai Rama krishna Pittusairamakrishna.hashnode.dev·Aug 6, 2024Understanding Types of Machine Learning SystemsHello, everyone! Today, I want to dive into the fascinating world of machine learning and explore the various types of machine learning systems. Machine learning can be categorized based on different criteria, and understanding these categories helps...10 likesMachine Learningtypes of machine learning system
Retzam Tarleretzam.hashnode.dev·Jul 29, 2024Semi-Supervised LearningSemi-supervised learning is a branch of machine learning that uses both labelled and unlabelled data to train models. It uses both supervised and unsupervised learning methods to train AI models. We have learned in-depth about supervised and unsuperv...Self-training
Venkat Rvenkatr.hashnode.dev·Jul 27, 2024Learning from Less Data and Building Smaller ModelsLearning from Less Data: Techniques and Applications Introduction In the age of big data, machine learning models typically need large datasets to perform well. However, gathering and labeling vast amounts of data can be tough and costly. Data-effici...Active Learning
Saurabh Naiksaurabhz.hashnode.dev·Sep 1, 2023Beyond Labels: The Evolution of Learning with Semi-Supervised TechniquesIntroduction: In the realm of machine learning, we often encounter scenarios where obtaining labeled data for training models is a time-consuming and resource-intensive task. This is where semi-supervised machine learning comes into play, offering a ...Introduction to AI and Machine LearningArtificial Intelligence
Rhythm Rawatrhythmblogs.hashnode.dev·Jul 1, 2023Beginner's Guide to Semi-Supervised LearningSemi-supervised learning is a machine learning technique that uses both labelled and unlabeled data to train models. It is a hybrid of supervised and unsupervised learning, and it can be used to improve the performance of models when there is a limit...1 like·49 readssemi supervised learning
Gigi Kennethbluegenes.hashnode.dev·Jun 16, 2023What is self-supervised learning?Self-supervised learning is a type of machine learning where the model trains itself on large amounts of unlabeled data to extract features and useful representations without human intervention. How does it work? In self-supervised learning, the mode...Machine Learning
