ScienceToStartup
TrendsTopicsSavedArticlesChangelogCareersAbout

113 Cherry St #92768

Seattle, WA 98104-2205

Backed by Research Labs
All systems operational

Product

  • Dashboard
  • Workspace
  • Build Loop
  • Research Map
  • Trends
  • Topics
  • Articles

Enterprise

  • TTO Dashboard
  • Scout Reports
  • RFP Marketplace
  • API

Resources

  • All Resources
  • Benchmark
  • Database
  • Dataset
  • Calculator
  • Glossary
  • State Reports
  • Industry Index
  • Directory
  • Templates
  • Alternatives
  • Changelog
  • FAQ
  • Docs

Company

  • About
  • Careers
  • For Media
  • Privacy Policy
  • Legal
  • Contact

Community

  • Open Source
  • Community
ScienceToStartup

Copyright © 2026 ScienceToStartup. All rights reserved.

Privacy Policy|Legal
  1. Home
  2. Signal Canvas
  3. Multiscale Switch for Semi-Supervised and Contrastive Learni
← Back to Paper

Multiscale Switch for Semi-Supervised and Contrastive Learning in Medical Ultrasound Image Segmentation

Fresh1d ago
Clone RepoExport BriefOpen in Build LoopConnect with Author
View PDF ↗
Viability
0.0/10

Compared to this week’s papers

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: partial

Distribution: unknown

Source paper: Multiscale Switch for Semi-Supervised and Contrastive Learning in Medical Ultrasound Image Segmentation

PDF: https://arxiv.org/pdf/2603.18655v1

Repository: https://github.com/jinggqu/Switch

First buyer signal: unknown

Distribution channel: unknown

Last proof check: 2026-03-20T21:29:17.504556+00:00

Starting…

Dimensions overall score 7.0

GitHub Code Pulse

Stars
6
Health
C
Last commit
3/15/2026
Forks
1
Open repository

Claim map

Claim extraction is still pending for this paper. Check back after the next analysis run.

Competitive landscape

Competitor map is still being generated for this paper. Enable generation or check back soon.

Keep exploring

Prior Work
Pixel-level Counterfactual Contrastive Learning for Medical Image Segmentation
Score 7.0stable
Higher Viability
A Semi-Supervised Framework for Breast Ultrasound Segmentation with Training-Free Pseudo-Label Generation and Label Refinement
Score 8.0up
Competing Approach
A Self supervised learning framework for imbalanced medical imaging datasets
Score 5.0down
Competing Approach
Efficient Chest X-ray Representation Learning via Semantic-Partitioned Contrastive Learning
Score 7.0stable
Competing Approach
Adversarial Robustness of Deep Learning-Based Thyroid Nodule Segmentation in Ultrasound
Score 2.0down
Competing Approach
Ultrasound-CLIP: Semantic-Aware Contrastive Pre-training for Ultrasound Image-Text Understanding
Score 7.0stable
Competing Approach
Multi-Kernel Gated Decoder Adapters for Robust Multi-Task Thyroid Ultrasound under Cross-Center Shift
Score 7.0stable
Competing Approach
Contour-Guided Query-Based Feature Fusion for Boundary-Aware and Generalizable Cardiac Ultrasound Segmentation
Score 7.0stable

Startup potential card

Startup potential card preview
Share on XLinkedIn

Related Resources

  • What advancements are being made in medical AI?(question)
  • What advancements are being made in medical AI?(question)
  • Why is evidence-grounded reasoning important in medical AI?(question)
  • Medical AI – Use Cases(use_case)

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Recommended Stack

PyTorchML Framework
FastAPIBackend
TensorFlowML Framework
JAXML Framework
KerasML Framework

Startup Essentials

Render

Deploy Backend

Railway

Full-Stack Deploy

Supabase

Backend & Auth

Vercel

Deploy Frontend

Firebase

Google Backend

Hugging Face Hub

ML Model Hub

Banana.dev

GPU Inference

Antigravity

AI Agent IDE

Estimated $9K - $13K over 6-10 weeks.

MVP Investment

$9K - $13K
6-10 weeks
Engineering
$8,000
GPU Compute
$800
SaaS Stack
$300
Domain & Legal
$100

6mo ROI

0.5-1x

3yr ROI

6-15x

GPU-heavy products have higher costs but premium pricing. Expect break-even by 12mo, then 40%+ margins at scale.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Talent Scout

View Repository

Find Builders

Medical experts on LinkedIn & GitHub

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.