Machine Learning Project Roadmap

Before you begin, get an actionable roadmap outlining the components you’ll need to make your ML project for pathology a success.

In 3-4 weeks, you’ll have a clear plan for your project.

Afraid your machine learning project will turn into an endless stream of failed experiments?

Machine learning projects are complex and iterative with uncertain outcomes. It’s not simply software but the intersection of software, engineering, and science. And this field moves fast. Deep learning barely existed a decade ago, and the tools and research are constantly evolving.

The decisions you make at the very beginning of the project are going to affect everything from here on out. You don’t want to start out on the wrong foot because that could jeopardize the success of the project or make it really expensive and time-consuming. You know that this ML product or service can play a critical role in the success of your business, but is your team up to the challenge?

You’ve tried to hire the best talent, but ML experts are hard to find – and expertise in your domain is even more elusive. How will you know if the direction you’re going aligns with current or emerging best practices? Is there a more recent advancement that can tackle your challenge more efficiently or with superior results?

A clear strategy for implementation

Imagine your ML product or service setting the standard for the industry. As you start down this road, envision having a clear strategy for your project. A plan for data, modeling, and validation based on expectations from prior research.

Before you implement anything, you’ll understand the possible outcomes from your project and what it’ll take to achieve your desired results. Your project will progress smoother and with confidence.

You’ll have a recognized expert in ML only a phone call away. Your team wouldn’t get stuck debating approaches or going down rabbit holes while evaluating a method.

The impact on your business of a successful ML implementation is immense. Set your project on the right path from the start.

Get a customized Machine Learning Roadmap incorporating best practices for pathology

Using my proven process, I’ll assess your planned project. I’ll focus on your current datasets, target task, and desired outcomes. I’ll outline my findings in a report that will provide a strategic plan for advancing your ML project and ensuring that it can support your goals.

Results:

  • Increased clarity on the scope of work

  • Decreased uncertainty for the implementation phase that follows

  • Decreased likelihood of going in circles or wasting time on unsuccessful approaches

  • Confidence that you’re incorporating the latest and greatest tools and techniques

  • Save time and money by identifying existing toolkits instead of implementing from scratch

  • Increased likelihood of success

Here’s how it works:

Our meetings will take place over Zoom over the course of 3 to 4 weeks. You’ll start by filling out a questionnaire with some background information about your project. We’ll dive deeper into this in our kickoff meeting, examining the desired outcomes for your project and what you’ve tried so far.

By our second meeting, I’ll have some possible solutions to present to you. We’ll talk through which will be most suitable for your application. Subsequent meetings will refine the strategy for data and annotation requirements, model development, and validation until we’ve settled on the best option for you. We’ll review the roadmap in our final session.

A six week check-in is also included in case you have any follow up questions as your team begins implementing the roadmap.

Deliverables:

You will receive a strategic roadmap detailing each of the components below:

  • Images and annotations: challenges, preprocessing, and cleaning requirements

  • Expectations from existing tools and research: software and research literature review

  • Modeling: architecture and training

  • Validation: metrics, generalizability, and error analysis

Ready to get started?

Are you ready to set your project on the path to success? Apply for an ML Roadmap by clicking the button below. The price is $24,000, which could save you many thousands down the road.

100% money-back guarantee!

If you don’t feel the ML Roadmap is the right fit for you, just let me know at the end of our kickoff meeting and I’ll refund your payment in full.

Don’t just take my word for it…

Heather has accelerated the development of our machine learning projects by challenging the status quo and introducing the team to new approaches. She helped us get out of the echo chamber and brought an outside perspective with very relevant alternative approaches that would have taken a lot longer to do on our own.

-- Joe Sturonas, Ancera, VP of Systems Development


Pixel Scientia provides valuable insights for Gestalt's image analysis product development. Heather has deep understanding of digital pathology and machine learning and their application to whole slide images. Her in-depth review of the current state of the art research has enabled Gestalt to rapidly focus our machine learning efforts on approaches that are yielding value for our pathologists and their patients.

-- Brian Napora, Gestalt Diagnostics, VP of Sales & Product Management


The roadmap we worked on together is very well written with clear descriptions regarding the tasks we wanted to tackle, the algorithms that could be applied to each one of the tasks, and the data/annotation requirements.

-- Ebrahim Hazrati, Agendia, Senior Deep Learning Engineer


Still have questions?

What happens after I apply?

I’ll schedule a short call to confirm that this package is suitable for your project. Then I’ll send over a short contract. Once you submit your payment, you’ll receive an email with a link to a questionnaire. At the end of the questionnaire you’ll be able to schedule our kickoff call.

Will you sign an NDA before we start?

The contract for this ML Roadmap will include confidentiality and non-disclosure provisions.

We already have a great ML team. Why do we need you?

Maybe you don’t need me. If your team is spending most of their time keeping up with the state-of-the-art and can outline a clear roadmap, you might not.

But if your team is spending most of their time training models, that’s where I come in. It is my job to stay at the forefront of the field, specifically at the intersection of machine learning, computer vision, and pathology. Through literature reviews and observations across multiple projects, I develop best practices for applying ML to pathology images and tactics for adapting new advances.

You and your team know your data and specific application better than I ever will. In developing the ML Roadmap, I build upon your team’s expertise and combine it with my knowledge of the field to get you on the path to a successful ML solution.

Our project is different from other applications. Is this a problem?

No. All projects in this space are different. This is why I focus specifically on pathology so that I can dig into research that’s relevant to the field. I will be sure to assess the closest related publications. There may be some differences between these and your application, but it is essential for setting expectations for your project.

We’ve already started implementing a solution, do we still need a roadmap?

A roadmap likely isn’t the best choice since you’ve already started your project. But if you find yourself in a jam, you might look into my other ML Services.

Some challenges don’t arise until later on in a project. Like discovering that your model doesn’t generalize to images from a different scanner or lab. Or analyzing your results for potential biases. These are great reasons to seek advice on a project that’s already in progress but are best-suited to a different offering.

What’s next after the roadmap? Can you help us with implementation?

After completing this roadmap, we have a few options. Your team could go off and implement the algorithms outlined independently. However, my clients have found that their projects are completed more efficiently with continuous guidance. You can sign up for my Accelerator monthly service and receive advice as your team handles the implementation.

Still not sure if this is the right package for you?

Schedule a free Strategy Session, and I’ll help you determine if this is a good fit.

Who are you, anyway?

Pixel Scientia Labs is led by Heather Couture. I have 17 years of experience in machine learning, 11 of those with applications to pathology. While I have no medical training, I do have a PhD in Computer Science and have published in top-tier computer vision and medical imaging venues. I write regularly on LinkedIn, for my newsletter Pathology ML Insights, and for a variety of trade publications. You may have heard me on podcasts or at conferences.

I help my clients accelerate their machine learning projects with best practices for pathology images. I make use of the latest ML research to amplify their results and support their in-house team for the long term. My mission is to fight cancer with AI – and I do that by strengthening the ML component of my clients’ most impactful projects.

Availability is limited

I only take on one new client a month with this ML Roadmap offer. Scheduling is first come, first served. The sooner you apply, the sooner you will get a clear path for your ML project.