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  8. Melanoma Cancer Detection using Convolutional Neural Network KNIME Analytics PlatformMelanoma Cancer Detection using Convolutional Neural Network KNIME Analytics Platform
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Melanoma Cancer Detection using Convolutional Neural Network KNIME Analytics Platform

This project will use Convolutional Neural Network (CNN) to develop a deep learning model for detecting melanoma cancer.

URL: Link Download Dataset https://www.kaggle.com/datasets/bhaveshmittal/melanoma-cancer-dataset

Nodes

  • Rule Engine4 ×
  • Column Filter2 ×
  • Image Calculator2 ×
  • Image Reader (Table)2 ×
  • Keras Convolution 2D Layer2 ×
  • Keras Dense Layer2 ×
  • Keras Max Pooling 2D Layer2 ×
  • List Files/Folders2 ×
  • Path to String2 ×
  • Row Sampling2 ×
  • Rule-based Row Filter2 ×
  • Concatenate1 ×
  • Conda Environment Propagation1 ×
  • Image Resizer1 ×
  • Keras Dropout Layer1 ×
  • Keras Flatten Layer1 ×
  • Keras Input Layer1 ×
  • Keras Network Executor1 ×
  • Keras Network Learner1 ×
  • Scorer1 ×

Extensions

  • FeatureKNIME Base nodes
  • FeatureKNIME Conda Integration
  • FeatureKNIME Deep Learning - Keras Integration
  • FeatureKNIME Image Processing
  • FeatureKNIME Javasnippet

Links

  • No links available

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: WizResQ
Created at: 2024-05-17
On NodePit since: 2024-05-19
Last update: 2025-06-01
Created with KNIME version: v5.2.3
Tags: deep learningcnnconvolutional neural networkcancer detectionmachine learning

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